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criteria decision making</title> <meta name="description" content="Search results for: multiple criteria decision making"> <meta name="keywords" content="multiple criteria decision making"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="multiple criteria decision making"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 13188</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: multiple criteria decision making</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13188</span> A Pedagogical Case Study on Consumer Decision Making Models: A Selection of Smart Phone Apps</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yong%20Bum%20Shin">Yong Bum Shin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This case focuses on Weighted additive difference, Conjunctive, Disjunctive, and Elimination by aspects methodologies in consumer decision-making models and the Simple additive weighting (SAW) approach in the multi-criteria decision-making (MCDM) area. Most decision-making models illustrate that the rank reversal phenomenon is unpreventable. This paper presents that rank reversal occurs in popular managerial methods such as Weighted Additive Difference (WAD), Conjunctive Method, Disjunctive Method, Elimination by Aspects (EBA) and MCDM methods as well as such as the Simple Additive Weighting (SAW) and finally Unified Commensurate Multiple (UCM) models which successfully addresses these rank reversal problems in most popular MCDM methods in decision-making area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20decision%20making" title="multiple criteria decision making">multiple criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=rank%20inconsistency" title=" rank inconsistency"> rank inconsistency</a>, <a href="https://publications.waset.org/abstracts/search?q=unified%20commensurate%20multiple" title=" unified commensurate multiple"> unified commensurate multiple</a>, <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title=" analytic hierarchy process"> analytic hierarchy process</a> </p> <a href="https://publications.waset.org/abstracts/163543/a-pedagogical-case-study-on-consumer-decision-making-models-a-selection-of-smart-phone-apps" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163543.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">81</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13187</span> Decision Making under Strict Uncertainty: Case Study in Sewer Network Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhen%20Wu">Zhen Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Lupien%20St-Pierre"> David Lupien St-Pierre</a>, <a href="https://publications.waset.org/abstracts/search?q=Georges%20Abdul-Nour"> Georges Abdul-Nour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In decision making under strict uncertainty, decision makers have to choose a decision without any information about the states of nature. The classic criteria of Laplace, Wald, Savage, Hurwicz and Starr are introduced and compared in a case study of sewer network planning. Furthermore, results from different criteria are discussed and analyzed. Moreover, this paper discusses the idea that decision making under strict uncertainty (DMUSU) can be viewed as a two-player game and thus be solved by a solution concept in game theory: Nash equilibrium. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20criteria" title="decision criteria">decision criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=sewer%20network%20planning" title=" sewer network planning"> sewer network planning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=strict%20uncertainty" title=" strict uncertainty"> strict uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/64139/decision-making-under-strict-uncertainty-case-study-in-sewer-network-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64139.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">559</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13186</span> Application of Fuzzy Multiple Criteria Decision Making for Flooded Risk Region Selection in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Waraporn%20Wimuktalop">Waraporn Wimuktalop</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research will select regions which are vulnerable to flooding in different level. Mathematical principles will be systematically and rationally utilized as a tool to solve problems of selection the regions. Therefore the method called Multiple Criteria Decision Making (MCDM) has been chosen by having two analysis standards, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and AHP (Analytic Hierarchy Process). There are three criterions that have been considered in this research. The first criterion is climate which is the rainfall. The second criterion is geography which is the height above mean sea level. The last criterion is the land utilization which both forest and agriculture use. The study found that the South has the highest risk of flooding, then the East, the Centre, the North-East, the West and the North, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20decision%20making" title="multiple criteria decision making">multiple criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=TOPSIS" title=" TOPSIS"> TOPSIS</a>, <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title=" analytic hierarchy process"> analytic hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=flooding" title=" flooding"> flooding</a> </p> <a href="https://publications.waset.org/abstracts/74376/application-of-fuzzy-multiple-criteria-decision-making-for-flooded-risk-region-selection-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74376.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13185</span> Multi-Criteria Decision Approach to Performance Measurement Techniques Data Envelopment Analysis: Case Study of Kerman City’s Parks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20A.%20Abdollahi">Ali A. Abdollahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the last several decades, scientists have consistently applied Multiple Criteria Decision-Making methods in making decisions about multi-faceted, complicated subjects. While making such decisions and in order to achieve more accurate evaluations, they have regularly used a variety of criteria instead of applying just one Optimum Evaluation Criterion. The method presented here utilizes both ‘quantity’ and ‘quality’ to assess the function of the Multiple-Criteria method. Applying Data envelopment analysis (DEA), weighted aggregated sum product assessment (WASPAS), Weighted Sum Approach (WSA), Analytic Network Process (ANP), and Charnes, Cooper, Rhodes (CCR) methods, we have analyzed thirteen parks in Kerman city. It further indicates that the functions of WASPAS and WSA are compatible with each other, but also that their deviation from DEA is extensive. Finally, the results for the CCR technique do not match the results of the DEA technique. Our study indicates that the ANP method, with the average rate of 1/51, ranks closest to the DEA method, which has an average rate of 1/49. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20decision%20making" title="multiple criteria decision making">multiple criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=Data%20envelopment%20analysis%20%28DEA%29" title=" Data envelopment analysis (DEA)"> Data envelopment analysis (DEA)</a>, <a href="https://publications.waset.org/abstracts/search?q=Charnes%20Cooper%20Rhodes%20%28CCR%29" title=" Charnes Cooper Rhodes (CCR)"> Charnes Cooper Rhodes (CCR)</a>, <a href="https://publications.waset.org/abstracts/search?q=Weighted%20Sum%20Approach%20%28WSA%29" title=" Weighted Sum Approach (WSA)"> Weighted Sum Approach (WSA)</a> </p> <a href="https://publications.waset.org/abstracts/92557/multi-criteria-decision-approach-to-performance-measurement-techniques-data-envelopment-analysis-case-study-of-kerman-citys-parks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92557.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">217</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13184</span> Determining of Importance Level of Factors Affecting Job Selection with the Method of AHP </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nurullah%20Ekmekci">Nurullah Ekmekci</a>, <a href="https://publications.waset.org/abstracts/search?q=%C3%96mer%20Akkaya"> Ömer Akkaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaz%C4%B1m%20Karabo%C4%9Fa"> Kazım Karaboğa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmut%20Tekin"> Mahmut Tekin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Job selection is one of the most important decisions that affect their lives in the name of being more useful to themselves and the society. There are many criteria to consider in the job selection. The amount of criteria in the job selection makes it a multi-criteria decision-making (MCDM) problem. In this study; job selection has been discussed as multi-criteria decision-making problem and has been solved by Analytic Hierarchy Process (AHP), one of the multi-criteria decision making methods. A survey, contains 5 different job selection criteria (finding a job friendliness, salary status, job , social security, work in the community deems reputation and business of the degree of difficulty) within many job selection criteria and 4 different job alternative (being academician, working at the civil service, working at the private sector and working at in their own business), has been conducted to the students of Selcuk University Faculty of Economics and Administrative Sciences. As a result of pairwise comparisons, the highest weighted criteria in the job selection and the most coveted job preferences were identified. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytical%20hierarchy%20process" title="analytical hierarchy process">analytical hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=job%20selection" title=" job selection"> job selection</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria" title=" multi-criteria"> multi-criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a> </p> <a href="https://publications.waset.org/abstracts/31794/determining-of-importance-level-of-factors-affecting-job-selection-with-the-method-of-ahp" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31794.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13183</span> An Integreated Intuitionistic Fuzzy ELECTRE Model for Multi-Criteria Decision-Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Babek%20Erdebilli">Babek Erdebilli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study is to develop and describe a new methodology for the Multi-Criteria Decision-Making (MCDM) problem using IFE (Elimination Et Choix Traduisant La Realite (ELECTRE) model. The proposed models enable Decision-Makers (DMs) on the assessment and use Intuitionistic Fuzzy Numbers (IFN). A numerical example is provided to demonstrate and clarify the proposed analysis procedure. Also, an empirical experiment is conducted to validation the effectiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision-making" title="multi-criteria decision-making">multi-criteria decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=IFE" title=" IFE"> IFE</a>, <a href="https://publications.waset.org/abstracts/search?q=DM%E2%80%99s" title=" DM’s"> DM’s</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20electre%20model" title=" fuzzy electre model"> fuzzy electre model</a> </p> <a href="https://publications.waset.org/abstracts/19788/an-integreated-intuitionistic-fuzzy-electre-model-for-multi-criteria-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19788.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">651</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13182</span> Contribution to the Decision-Making Process for Selecting the Suitable Maintenance Policy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Y.%20Mahamoud">Nasser Y. Mahamoud</a>, <a href="https://publications.waset.org/abstracts/search?q=Pierre%20Dehombreux"> Pierre Dehombreux</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20E.%20Robleh"> Hassan E. Robleh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Industrial companies may be confronted with questions about their choice of maintenance policy. This choice must be guided by several numbers of decision criteria or objectives related to their production or service activities but also to their level of development and their investment prospects. A decision-support methodology to choose a maintenance policy (corrective, systematic or conditional preventive, predictive, opportunistic or not) is proposed to facilitate this choice using the main categories of the most important decision criteria. The different steps of this methodology are illustrated using theoretical case: identification of the different maintenance alternatives, determining the structure of the most important categories of the decision criteria, assessing the different maintenance policies on to the criteria by using an ordinal preference relation, and finally ranking the different maintenance policies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maintenance%20policy" title="maintenance policy">maintenance policy</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20criteria" title=" decision criteria"> decision criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making%20process" title=" decision-making process"> decision-making process</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP" title=" AHP"> AHP</a> </p> <a href="https://publications.waset.org/abstracts/72202/contribution-to-the-decision-making-process-for-selecting-the-suitable-maintenance-policy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72202.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">332</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13181</span> Smaa-Gaia: A Complementary Tool of the Smaa-Promethee Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20de%20Smet">Y. de Smet</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Hubinont"> J. Hubinont</a> </p> <p class="card-text"><strong>Abstract:</strong></p> PROMETHEE and GAIA are well-known Multiple Criteria Decision Aid methods. Given an evaluation table and preference parameters they allow to rank the alternatives, to visualize the problem, to perform sensitivity and robustness analysis, etc. Unfortunately, it is often hard for the Decision Maker (DM) to estimate the precise values of these parameters. Therefore an alternative option is to give ranges of potential values in order to apply Stochastic Multicriteria Acceptability Analysis. This has been recently studied in the context of the SMAA-PROMETHEE method. The aim of this contribution is to propose an SMAA extension of GAIA. We show how this tool can be useful and provide complementary information to SMAA-PROMETHEE. This is illustrated on a pedagogical example. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20decision%20making" title="multiple criteria decision making">multiple criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=PROMETHEE" title=" PROMETHEE"> PROMETHEE</a>, <a href="https://publications.waset.org/abstracts/search?q=GAIA" title=" GAIA"> GAIA</a>, <a href="https://publications.waset.org/abstracts/search?q=SMAA" title=" SMAA"> SMAA</a> </p> <a href="https://publications.waset.org/abstracts/24165/smaa-gaia-a-complementary-tool-of-the-smaa-promethee-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24165.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">429</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13180</span> Evaluation and Selection of SaaS Product Based on User Preferences</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Boussoualim%20Nacira">Boussoualim Nacira</a>, <a href="https://publications.waset.org/abstracts/search?q=Aklouf%20Youcef"> Aklouf Youcef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Software as a Service (SaaS) is a software delivery paradigm in which the product is not installed on-premise, but it is available on Internet and Web. The customers do not pay to possess the software itself but rather to use it. This concept of pay per use is very attractive. Hence, we see increasing number of organizations adopting SaaS. However, each customer is unique, which leads to a very large variation in the requirements off the software. As several suppliers propose SaaS products, the choice of this latter becomes a major issue. When multiple criteria are involved in decision making, we talk about a problem of «Multi-Criteria Decision-Making» (MCDM). Therefore, this paper presents a method to help customers to choose a better SaaS product satisfying most of their conditions and alternatives. Also, we know that a good method of adaptive selection should be based on the correct definition of the different parameters of choice. This is why we started by extraction and analysis the various parameters involved in the process of the selection of a SaaS application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20operation" title=" business operation"> business operation</a>, <a href="https://publications.waset.org/abstracts/search?q=Multi-Criteria%20Decision-Making%20%28MCDM%29" title=" Multi-Criteria Decision-Making (MCDM)"> Multi-Criteria Decision-Making (MCDM)</a>, <a href="https://publications.waset.org/abstracts/search?q=Software%20as%20a%20Service%20%28SaaS%29" title=" Software as a Service (SaaS)"> Software as a Service (SaaS)</a> </p> <a href="https://publications.waset.org/abstracts/29277/evaluation-and-selection-of-saas-product-based-on-user-preferences" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29277.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">483</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13179</span> Evaluation of Aggregate Risks in Sustainable Manufacturing Using Fuzzy Multiple Attribute Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gopinath%20Rathod">Gopinath Rathod</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinod%20Puranik"> Vinod Puranik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sustainability is regarded as a key concept for survival in the competitive scenario. Industrial risk and diversification of risk type’s increases with industrial developments. In the context of sustainable manufacturing, the evaluation of risk is difficult because of the incomplete information and multiple indicators. Fuzzy Multiple Attribute Decision Method (FMADM) has been used with a three level hierarchical decision making model to evaluate aggregate risk for sustainable manufacturing projects. A case study has been presented to reflect the risk characteristics in sustainable manufacturing projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sustainable%20manufacturing" title="sustainable manufacturing">sustainable manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=aggregate%20risk" title=" aggregate risk"> aggregate risk</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20multiple%20attribute%20decision%20method" title=" fuzzy multiple attribute decision method"> fuzzy multiple attribute decision method</a> </p> <a href="https://publications.waset.org/abstracts/17324/evaluation-of-aggregate-risks-in-sustainable-manufacturing-using-fuzzy-multiple-attribute-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17324.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">519</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13178</span> Youth Intelligent Personal Decision Aid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norfiza%20Ibrahim">Norfiza Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Norshuhada%20Shiratuddin"> Norshuhada Shiratuddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Siti%20Mahfuzah%20Sarif"> Siti Mahfuzah Sarif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision-making system is used to facilitate people in making the right choice for their important daily activities. For the youth, proper guidance in making important decisions is needed. Their skills in decision-making aid decisions will indirectly affect their future. For that reason, this study focuses on the intelligent aspects in the development of intelligent decision support application. The aid apparently integrates Personality Traits (PT) and Multiple Intelligence (MI) data in development of a computerized personal decision aid for youth named as Youth Personal Decision Aid (Youth PDA). This study is concerned with the aid’s helpfulness based on the hybrid intelligent process. There are four main items involved which are reliability, decision making effort, confidence, as well as decision process awareness. Survey method was applied to the actual user of this system, namely the school and the Institute of Higher Education (IPT)’s students. An establish instrument was used to evaluate the study. The results of the analysis and findings in the assessment indicates a high mean value of the four dimensions in helping Youth PDA to be accepted as a useful tool for the youth in decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title="decision support">decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20intelligent" title=" multiple intelligent"> multiple intelligent</a>, <a href="https://publications.waset.org/abstracts/search?q=personality%20traits" title=" personality traits"> personality traits</a>, <a href="https://publications.waset.org/abstracts/search?q=youth%20personal%20decision%20aid" title=" youth personal decision aid"> youth personal decision aid</a> </p> <a href="https://publications.waset.org/abstracts/18779/youth-intelligent-personal-decision-aid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18779.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">632</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13177</span> Fuzzy Multi-Criteria Decision-Making Based on Ignatian Discernment Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pathinathan%20Theresanathan">Pathinathan Theresanathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajay%20Minj"> Ajay Minj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ignatian Discernment Process (IDP) is an intense decision-making tool to decide on life-issues. Decisions are influenced by various factors outside of the decision maker and inclination within. This paper develops IDP in the context of Fuzzy Multi-criteria Decision Making (FMCDM) process. Extended VIKOR method is a decision-making method which encompasses even conflict situations and accommodates weightage to various issues. Various aspects of IDP, namely three ways of decision making and tactics of inner desires, are observed, analyzed and articulated within the frame work of fuzzy rules. The decision-making situations are broadly categorized into two types. The issues outside of the decision maker influence the person. The inner feeling also plays vital role in coming to a conclusion. IDP integrates both the categories using Extended VIKOR method. Case studies are carried out and analyzed with FMCDM process. Finally, IDP is verified with an illustrative case study and results are interpreted. A confused person who could not come to a conclusion is able to take decision on a concrete way of life through IDP. The proposed IDP model recommends an integrated and committed approach to value-based decision making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AHP" title="AHP">AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=FMCDM" title=" FMCDM"> FMCDM</a>, <a href="https://publications.waset.org/abstracts/search?q=IDP" title=" IDP"> IDP</a>, <a href="https://publications.waset.org/abstracts/search?q=ignatian%20discernment" title=" ignatian discernment"> ignatian discernment</a>, <a href="https://publications.waset.org/abstracts/search?q=MCDM" title=" MCDM"> MCDM</a>, <a href="https://publications.waset.org/abstracts/search?q=VIKOR" title=" VIKOR"> VIKOR</a> </p> <a href="https://publications.waset.org/abstracts/89096/fuzzy-multi-criteria-decision-making-based-on-ignatian-discernment-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89096.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">260</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13176</span> An Integrated DEMATEL-QFD Model for Medical Supplier Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehtap%20Dursun">Mehtap Dursun</a>, <a href="https://publications.waset.org/abstracts/search?q=Zeynep%20%C5%9Eener"> Zeynep Şener</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Supplier selection is considered as one of the most critical issues encountered by operations and purchasing managers to sharpen the company’s competitive advantage. In this paper, a novel fuzzy multi-criteria group decision making approach integrating quality function deployment (QFD) and decision making trial and evaluation laboratory (DEMATEL) method is proposed for supplier selection. The proposed methodology enables to consider the impacts of inner dependence among supplier assessment criteria. A house of quality (HOQ) which translates purchased product features into supplier assessment criteria is built using the weights obtained by DEMATEL approach to determine the desired levels of supplier assessment criteria. Supplier alternatives are ranked by a distance-based method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DEMATEL" title="DEMATEL">DEMATEL</a>, <a href="https://publications.waset.org/abstracts/search?q=group%20decision%20making" title=" group decision making"> group decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=QFD" title=" QFD"> QFD</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a> </p> <a href="https://publications.waset.org/abstracts/2678/an-integrated-dematel-qfd-model-for-medical-supplier-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2678.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">436</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13175</span> A Novel PSO Based Decision Tree Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Farzan">Ali Farzan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Classification of data objects or patterns is a major part in most of Decision making systems. One of the popular and commonly used classification methods is Decision Tree (DT). It is a hierarchical decision making system by which a binary tree is constructed and starting from root, at each node some of the classes is rejected until reaching the leaf nods. Each leaf node is a representative of one specific class. Finding the splitting criteria in each node for constructing or training the tree is a major problem. Particle Swarm Optimization (PSO) has been adopted as a metaheuristic searching method for finding the best splitting criteria. Result of evaluating the proposed method over benchmark datasets indicates the higher accuracy of the new PSO based decision tree. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title="decision tree">decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=splitting%20criteria" title=" splitting criteria"> splitting criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=metaheuristic" title=" metaheuristic"> metaheuristic</a> </p> <a href="https://publications.waset.org/abstracts/32425/a-novel-pso-based-decision-tree-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32425.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">406</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13174</span> Carrying Out the Steps of Decision Making Process in Concrete Organization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eva%20%C5%A0t%C4%9Bp%C3%A1nkov%C3%A1">Eva Štěpánková</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The decision-making process is theoretically clearly defined. Generally, it includes the problem identification and analysis, data gathering, goals and criteria setting, alternatives development and optimal alternative choice and its implementation. In practice however, various modifications of the theoretical decision-making process can occur. The managers can consider some of the phases to be too complicated or unfeasible and thus they do not carry them out and conversely some of the steps can be overestimated. The aim of the paper is to reveal and characterize the perception of the individual phases of decision-making process by the managers. The research is concerned with managers in the military environment–commanders. Quantitative survey is focused cross-sectionally in the individual levels of management of the Ministry of Defence of the Czech Republic. On the total number of 135 respondents the analysis focuses on which of the decision-making process phases are problematic or not carried out in practice and which are again perceived to be the easiest. Then it is examined the reasons of the findings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20process" title=" decision making process"> decision making process</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20problems" title=" decision problems"> decision problems</a>, <a href="https://publications.waset.org/abstracts/search?q=concrete%20organization" title=" concrete organization"> concrete organization</a> </p> <a href="https://publications.waset.org/abstracts/19379/carrying-out-the-steps-of-decision-making-process-in-concrete-organization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19379.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">473</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13173</span> Decision Analysis Module for Excel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Radomir%20Perzina">Radomir Perzina</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaroslav%20Ramik"> Jaroslav Ramik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Analytic Hierarchy Process is frequently used approach for solving decision making problems. There exists wide range of software programs utilizing that approach. Their main disadvantage is that they are relatively expensive and missing intermediate calculations. This work introduces a Microsoft Excel add-in called DAME – Decision Analysis Module for Excel. Comparing to other computer programs DAME is free, can work with scenarios or multiple decision makers and displays intermediate calculations. Users can structure their decision models into three levels – scenarios/users, criteria and variants. Items on all levels can be evaluated either by weights or pair-wise comparisons. There are provided three different methods for the evaluation of the weights of criteria, the variants as well as the scenarios – Saaty’s Method, Geometric Mean Method and Fuller’s Triangle Method. Multiplicative and additive syntheses are supported. The proposed software package is demonstrated on couple of illustrating examples of real life decision problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title="analytic hierarchy process">analytic hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making" title=" multi-criteria decision making"> multi-criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=pair-wise%20comparisons" title=" pair-wise comparisons"> pair-wise comparisons</a>, <a href="https://publications.waset.org/abstracts/search?q=Microsoft%20Excel" title=" Microsoft Excel"> Microsoft Excel</a>, <a href="https://publications.waset.org/abstracts/search?q=scenarios" title=" scenarios"> scenarios</a> </p> <a href="https://publications.waset.org/abstracts/9610/decision-analysis-module-for-excel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9610.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">452</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13172</span> Multi-Criteria Decision Making Approaches for Facility Planning Problem Evaluation: A Survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20M.%20El-Araby">Ahmed M. El-Araby</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Sabry"> Ibrahim Sabry</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20El-Assal"> Ahmed El-Assal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The relationships between the industrial facilities, the capacity available for these facilities, and the costs involved are the main factors in deciding the correct selection of a facility layout. In general, an issue of facility layout is considered to be an unstructured problem of decision-making. The objective of this work is to provide a survey that describes the techniques by which a facility planning problem can be solved and also the effect of these techniques on the efficiency of the layout. The multi-criteria decision making (MCDM) techniques can be classified according to the previous researches into three categories which are the use of single MCDM, combining two or more MCDM, and the integration of MCDM with another technique such as genetic algorithms (GA). This paper presents a review of different multi-criteria decision making (MCDM) techniques that have been proposed in the literature to pick the most suitable layout design. These methods are particularly suitable to deal with complex situations, including various criteria and conflicting goals which need to be optimized simultaneously. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=facility%20layout" title="facility layout">facility layout</a>, <a href="https://publications.waset.org/abstracts/search?q=MCDM" title=" MCDM"> MCDM</a>, <a href="https://publications.waset.org/abstracts/search?q=GA" title=" GA"> GA</a>, <a href="https://publications.waset.org/abstracts/search?q=literature%20review" title=" literature review"> literature review</a> </p> <a href="https://publications.waset.org/abstracts/136799/multi-criteria-decision-making-approaches-for-facility-planning-problem-evaluation-a-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136799.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13171</span> Supply Chain Design: Criteria Considered in Decision Making Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lenka%20Krsnakova">Lenka Krsnakova</a>, <a href="https://publications.waset.org/abstracts/search?q=Petr%20Jirsak"> Petr Jirsak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Prior research on facility location in supply chain is mostly focused on improvement of mathematical models. It is due to the fact that supply chain design has been for the long time the area of operational research that underscores mainly quantitative criteria. Qualitative criteria are still highly neglected within the supply chain design research. Facility location in the supply chain has become multi-criteria decision-making problem rather than single criteria decision due to changes of market conditions. Thus, both qualitative and quantitative criteria have to be included in the decision making process. The aim of this study is to emphasize the importance of qualitative criteria as key parameters of relevant mathematical models. We examine which criteria are taken into consideration when Czech companies decide about their facility location. A literature review on criteria being used in facility location decision making process creates a theoretical background for the study. The data collection was conducted through questionnaire survey. Questionnaire was sent to manufacturing and business companies of all sizes (small, medium and large enterprises) with the representation in the Czech Republic within following sectors: automotive, toys, clothing industry, electronics and pharmaceutical industry. Comparison of which criteria prevail in the current research and which are considered important by companies in the Czech Republic is made. Despite the number of articles focused on supply chain design, only minority of them consider qualitative criteria and rarely process supply chain design as a multi-criteria decision making problem. Preliminary results of the questionnaire survey outlines that companies in the Czech Republic see the qualitative criteria and their impact on facility location decision as crucial. Qualitative criteria as company strategy, quality of working environment or future development expectations are confirmed to be considered by Czech companies. This study confirms that the qualitative criteria can significantly influence whether a particular location could or could not be right place for a logistic facility. The research has two major limitations: researchers who focus on improving of mathematical models mostly do not mention criteria that enter the model. Czech supply chain managers selected important criteria from the group of 18 available criteria and assign them importance weights. It does not necessarily mean that these criteria were taken into consideration when the last facility location was chosen, but how they perceive that today. Since the study confirmed the necessity of future research on how qualitative criteria influence decision making process about facility location, the authors have already started in-depth interviews with participating companies to reveal how the inclusion of qualitative criteria into decision making process about facility location influence the company´s performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=criteria%20influencing%20facility%20location" title="criteria influencing facility location">criteria influencing facility location</a>, <a href="https://publications.waset.org/abstracts/search?q=Czech%20Republic" title=" Czech Republic"> Czech Republic</a>, <a href="https://publications.waset.org/abstracts/search?q=facility%20location%20decision-making" title=" facility location decision-making"> facility location decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=qualitative%20criteria" title=" qualitative criteria"> qualitative criteria</a> </p> <a href="https://publications.waset.org/abstracts/45377/supply-chain-design-criteria-considered-in-decision-making-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45377.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13170</span> Site Selection of CNG Station by Using FUZZY-AHP Model (Case Study: Gas Zone 4, Tehran City Iran)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamidrza%20Joodaki">Hamidrza Joodaki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The most complex issue in urban land use planning is site selection that needs to assess the verity of elements and factors. Multi Criteria Decision Making (MCDM) methods are the best approach to deal with complex problems. In this paper, combination of the analytical hierarchy process (AHP) model and FUZZY logic was used as MCDM methods to select the best site for gas station in the 4th gas zone of Tehran. The first and the most important step in FUZZY-AHP model is selection of criteria and sub-criteria. Population, accessibility, proximity and natural disasters were considered as the main criteria in this study. After choosing the criteria, they were weighted based on AHP by EXPERT CHOICE software, and FUZZY logic was used to enhance accuracy and to approach the reality. After these steps, criteria layers were produced and weighted based on FUZZY-AHP model in GIS. Finally, through ARC GIS software, the layers were integrated and the 4th gas zone in TEHRAN was selected as the best site to locate gas station. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20decision%20making%20%28MCDM%29" title="multiple criteria decision making (MCDM)">multiple criteria decision making (MCDM)</a>, <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process%20%28AHP%29" title=" analytic hierarchy process (AHP)"> analytic hierarchy process (AHP)</a>, <a href="https://publications.waset.org/abstracts/search?q=FUZZY%20logic" title=" FUZZY logic"> FUZZY logic</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20information%20system%20%28GIS%29" title=" geographic information system (GIS)"> geographic information system (GIS)</a> </p> <a href="https://publications.waset.org/abstracts/34971/site-selection-of-cng-station-by-using-fuzzy-ahp-model-case-study-gas-zone-4-tehran-city-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34971.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">361</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13169</span> Multi-Criteria Evaluation of Integrated Renewable Energy Systems for Community-Scale Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kuanrong%20Qiu">Kuanrong Qiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Sebnem%20Madrali"> Sebnem Madrali</a>, <a href="https://publications.waset.org/abstracts/search?q=Evgueniy%20Entchev"> Evgueniy Entchev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To achieve the satisfactory objectives in deploying integrated renewable energy systems, it is crucial to consider all the related parameters affecting the design and decision-making. The multi-criteria evaluation method is a reliable and efficient tool for achieving the most appropriate solution. The approach considers the influential factors and their relative importance in prioritizing the alternatives. In this paper, a multi-criteria decision framework, based on the criteria including technical, economic, environmental and reliability, is developed to evaluate and prioritize renewable energy technologies and configurations of their integrated systems for community applications, identify their viability, and thus support the adoption of the clean energy technologies and the decision-making regarding energy transitions and transition patterns. Case studies for communities in Canada show that resource availability and the configurations of the integrated systems significantly impact the economic performance and environmental performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-criteria" title="multi-criteria">multi-criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=renewables" title=" renewables"> renewables</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20energy%20systems" title=" integrated energy systems"> integrated energy systems</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making" title=" decision-making"> decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=model" title=" model"> model</a> </p> <a href="https://publications.waset.org/abstracts/164717/multi-criteria-evaluation-of-integrated-renewable-energy-systems-for-community-scale-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164717.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">93</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13168</span> Optimal Construction Using Multi-Criteria Decision-Making Methods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masood%20Karamoozian">Masood Karamoozian</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Hong"> Zhang Hong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The necessity and complexity of the decision-making process and the interference of the various factors to make decisions and consider all the relevant factors in a problem are very obvious nowadays. Hence, researchers show their interest in multi-criteria decision-making methods. In this research, the Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods of multi-criteria decision-making have been used to solve the problem of optimal construction systems. Systems being evaluated in this problem include; Light Steel Frames (LSF), a case study of designs by Zhang Hong studio in the Southeast University of Nanjing, Insulating Concrete Form (ICF), Ordinary Construction System (OCS), and Prefabricated Concrete System (PRCS) as another case study designs in Zhang Hong studio in the Southeast University of Nanjing. Crowdsourcing was done by using a questionnaire at the sample level (200 people). Questionnaires were distributed among experts, university centers, and conferences. According to the results of the research, the use of different methods of decision-making led to relatively the same results. In this way, with the use of all three multi-criteria decision-making methods mentioned above, the Prefabricated Concrete System (PRCS) was in the first rank, and the Light Steel Frame (LSF) system ranked second. Also, the Prefabricated Concrete System (PRCS), in terms of performance standards and economics, was ranked first, and the Light Steel Frame (LSF) system was allocated the first rank in terms of environmental standards. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making" title="multi-criteria decision making">multi-criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP" title=" AHP"> AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=SAW" title=" SAW"> SAW</a>, <a href="https://publications.waset.org/abstracts/search?q=TOPSIS" title=" TOPSIS"> TOPSIS</a> </p> <a href="https://publications.waset.org/abstracts/158213/optimal-construction-using-multi-criteria-decision-making-methods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158213.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">110</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13167</span> Genetic Algorithm and Multi Criteria Decision Making Approach for Compressive Sensing Based Direction of Arrival Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ekin%20Nurba%C5%9F">Ekin Nurbaş</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the essential challenges in array signal processing, which has drawn enormous research interest over the past several decades, is estimating the direction of arrival (DOA) of plane waves impinging on an array of sensors. In recent years, the Compressive Sensing based DoA estimation methods have been proposed by researchers, and it has been discovered that the Compressive Sensing (CS)-based algorithms achieved significant performances for DoA estimation even in scenarios where there are multiple coherent sources. On the other hand, the Genetic Algorithm, which is a method that provides a solution strategy inspired by natural selection, has been used in sparse representation problems in recent years and provides significant improvements in performance. With all of those in consideration, in this paper, a method that combines the Genetic Algorithm (GA) and the Multi-Criteria Decision Making (MCDM) approaches for Direction of Arrival (DoA) estimation in the Compressive Sensing (CS) framework is proposed. In this method, we generate a multi-objective optimization problem by splitting the norm minimization and reconstruction loss minimization parts of the Compressive Sensing algorithm. With the help of the Genetic Algorithm, multiple non-dominated solutions are achieved for the defined multi-objective optimization problem. Among the pareto-frontier solutions, the final solution is obtained with the multiple MCDM methods. Moreover, the performance of the proposed method is compared with the CS-based methods in the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title="genetic algorithm">genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=direction%20of%20arrival%20esitmation" title=" direction of arrival esitmation"> direction of arrival esitmation</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20criteria%20decision%20making" title=" multi criteria decision making"> multi criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=compressive%20sensing" title=" compressive sensing"> compressive sensing</a> </p> <a href="https://publications.waset.org/abstracts/154971/genetic-algorithm-and-multi-criteria-decision-making-approach-for-compressive-sensing-based-direction-of-arrival-estimation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154971.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13166</span> A PROMETHEE-BELIEF Approach for Multi-Criteria Decision Making Problems with Incomplete Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Moalla">H. Moalla</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Frikha"> A. Frikha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multi-criteria decision aid methods consider decision problems where numerous alternatives are evaluated on several criteria. These methods are used to deal with perfect information. However, in practice, it is obvious that this information requirement is too much strict. In fact, the imperfect data provided by more or less reliable decision makers usually affect decision results since any decision is closely linked to the quality and availability of information. In this paper, a PROMETHEE-BELIEF approach is proposed to help multi-criteria decisions based on incomplete information. This approach solves problems with incomplete decision matrix and unknown weights within PROMETHEE method. On the base of belief function theory, our approach first determines the distributions of belief masses based on PROMETHEE’s net flows and then calculates weights. Subsequently, it aggregates the distribution masses associated to each criterion using Murphy’s modified combination rule in order to infer a global belief structure. The final action ranking is obtained via pignistic probability transformation. A case study of real-world application concerning the location of a waste treatment center from healthcare activities with infectious risk in the center of Tunisia is studied to illustrate the detailed process of the BELIEF-PROMETHEE approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=belief%20function%20theory" title="belief function theory">belief function theory</a>, <a href="https://publications.waset.org/abstracts/search?q=incomplete%20information" title=" incomplete information"> incomplete information</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20criteria%20analysis" title=" multiple criteria analysis"> multiple criteria analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=PROMETHEE%20method" title=" PROMETHEE method"> PROMETHEE method</a> </p> <a href="https://publications.waset.org/abstracts/96791/a-promethee-belief-approach-for-multi-criteria-decision-making-problems-with-incomplete-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96791.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13165</span> A Combined AHP-GP Model for Selecting Knowledge Management Tool</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Sarfaraz">Ahmad Sarfaraz</a>, <a href="https://publications.waset.org/abstracts/search?q=Raiyad%20Herwies"> Raiyad Herwies</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a multi-criteria decision making analysis is used to help any organization selects the best KM tool that fits and serves its needs. The AHP model is used based on a previous study to highlight and identify the main criteria and sub-criteria that are incorporated in the selection process. Different KM tools alternatives with different criteria are compared and weighted accurately to be incorporated in the GP model. The main goal is to combine the GP model with the AHP model to ensure that selecting the KM tool considers the resource constraints. Two important issues are discussed in this paper: how different factors could be taken into consideration in forming the AHP model, and how to incorporate the AHP results into the GP model for better results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title="knowledge management">knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=analytical%20hierarchy%20process" title=" analytical hierarchy process"> analytical hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=goal%20programming" title=" goal programming"> goal programming</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making" title=" multi-criteria decision making"> multi-criteria decision making</a> </p> <a href="https://publications.waset.org/abstracts/47582/a-combined-ahp-gp-model-for-selecting-knowledge-management-tool" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47582.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13164</span> Using Analytic Hierarchy Process as a Decision-Making Tool in Project Portfolio Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Darius%20Danesh">Darius Danesh</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20J.%20Ryan"> Michael J. Ryan</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Abbasi"> Alireza Abbasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Project Portfolio Management (PPM) is an essential component of an organisation’s strategic procedures, which requires attention of several factors to envisage a range of long-term outcomes to support strategic project portfolio decisions. To evaluate overall efficiency at the portfolio level, it is essential to identify the functionality of specific projects as well as to aggregate those findings in a mathematically meaningful manner that indicates the strategic significance of the associated projects at a number of levels of abstraction. PPM success is directly associated with the quality of decisions made and poor judgment increases portfolio costs. Hence, various Multi-Criteria Decision Making (MCDM) techniques have been designed and employed to support the decision-making functions. This paper reviews possible option to improve the decision-making outcomes in the organisational portfolio management processes using the Analytic Hierarchy Process (AHP) both from academic and practical perspectives and will examine the usability, certainty and quality of the technique. The results of the study will also provide insight into the technical risk associated with current decision-making model to underpin initiative tracking and strategic portfolio management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title="analytic hierarchy process">analytic hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20systems" title=" decision support systems"> decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making" title=" multi-criteria decision making"> multi-criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20portfolio%20management" title=" project portfolio management"> project portfolio management</a> </p> <a href="https://publications.waset.org/abstracts/39497/using-analytic-hierarchy-process-as-a-decision-making-tool-in-project-portfolio-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39497.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13163</span> Multi-Criteria Decision-Making in Ranking Drinking Water Supply Options (Case Study: Tehran City)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohsen%20Akhlaghi">Mohsen Akhlaghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Tahereh%20Ebrahimi"> Tahereh Ebrahimi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Considering the increasing demand for water and limited resources, there is a possibility of a water crisis in the not-so-distant future. Therefore, to prevent this crisis, other options for drinking water supply should be examined. In this regard, the application of multi-criteria decision-making methods in various aspects of water resource management and planning has always been of great interest to researchers. In this report, six options for supplying drinking water to Tehran City were considered. Then, experts' opinions were collected through matrices and questionnaires, and using the TOPSIS method, which is one of the types of multi-criteria decision-making methods, they were calculated and analyzed. In the TOPSIS method, the options were ranked by calculating their proximity to the ideal (Ci). The closer the numerical value of Ci is to one, the more desirable the option is. Based on this, the option with the optimization pattern of water consumption, with Ci = 0.9787, is the best option among the proposed options for supplying drinking water to Tehran City. The other options, in order of priority, are rainwater harvesting, wastewater reuse, increasing current water supply sources, desalination and its transfer, and transferring water from freshwater sources between basins. In conclusion, the findings of this study highlight the importance of exploring alternative drinking water supply options and utilizing multi-criteria decision-making approaches to address the potential water crisis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision" title="multi-criteria decision">multi-criteria decision</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a>, <a href="https://publications.waset.org/abstracts/search?q=topsis" title=" topsis"> topsis</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20supply" title=" water supply"> water supply</a> </p> <a href="https://publications.waset.org/abstracts/169219/multi-criteria-decision-making-in-ranking-drinking-water-supply-options-case-study-tehran-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169219.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">68</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13162</span> Triangular Hesitant Fuzzy TOPSIS Approach in Investment Projects Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Irina%20Khutsishvili">Irina Khutsishvili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The presented study develops a decision support methodology for multi-criteria group decision-making problem. The proposed methodology is based on the TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) approach in the hesitant fuzzy environment. The main idea of decision-making problem is a selection of one best alternative or several ranking alternatives among a set of feasible alternatives. Typically, the process of decision-making is based on an evaluation of certain criteria. In many MCDM problems (such as medical diagnosis, project management, business and financial management, etc.), the process of decision-making involves experts' assessments. These assessments frequently are expressed in fuzzy numbers, confidence intervals, intuitionistic fuzzy values, hesitant fuzzy elements and so on. However, a more realistic approach is using linguistic expert assessments (linguistic variables). In the proposed methodology both the values and weights of the criteria take the form of linguistic variables, given by all decision makers. Then, these assessments are expressed in triangular fuzzy numbers. Consequently, proposed approach is based on triangular hesitant fuzzy TOPSIS decision-making model. Following the TOPSIS algorithm, first, the fuzzy positive ideal solution (FPIS) and the fuzzy negative-ideal solution (FNIS) are defined. Then the ranking of alternatives is performed in accordance with the proximity of their distances to the both FPIS and FNIS. Based on proposed approach the software package has been developed, which was used to rank investment projects in the real investment decision-making problem. The application and testing of the software were carried out based on the data provided by the ‘Bank of Georgia’. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20TOPSIS%20approach" title="fuzzy TOPSIS approach">fuzzy TOPSIS approach</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20project" title=" investment project"> investment project</a>, <a href="https://publications.waset.org/abstracts/search?q=linguistic%20variable" title=" linguistic variable"> linguistic variable</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision%20making" title=" multi-criteria decision making"> multi-criteria decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=triangular%20hesitant%20fuzzy%20set" title=" triangular hesitant fuzzy set"> triangular hesitant fuzzy set</a> </p> <a href="https://publications.waset.org/abstracts/59560/triangular-hesitant-fuzzy-topsis-approach-in-investment-projects-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59560.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">428</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13161</span> Group Consensus of Hesitant Fuzzy Linguistic Variables for Decision-Making Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen%20T.%20Chen">Chen T. Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui%20L.%20Cheng"> Hui L. Cheng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the different knowledge, experience and expertise of experts, they usually provide the different opinions in the group decision-making process. Therefore, it is an important issue to reach the group consensus of opinions of experts in group multiple-criteria decision-making (GMCDM) process. Because the subjective opinions of experts always are fuzziness and uncertainties, it is difficult to use crisp values to describe the real opinions of experts or decision-makers. It is reasonable for experts to use the linguistic variables to express their opinions. The hesitant fuzzy set are extended from the concept of fuzzy sets. Experts use the hesitant fuzzy sets can be flexible to describe their subjective opinions. In order to aggregate the hesitant fuzzy linguistic variables of all experts effectively, an adjustment method based on distance function will be presented in this paper. Based on the opinions adjustment method, this paper will present an effective approach to adjust the hesitant fuzzy linguistic variables of all experts to reach the group consensus. Then, a new hesitant linguistic GMCDM method will be presented based on the group consensus of hesitant fuzzy linguistic variables. Finally, an example will be implemented to illustrate the computational process to enhance the practical value of the proposed model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=group%20multi-criteria%20decision-making" title="group multi-criteria decision-making">group multi-criteria decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=linguistic%20variables" title=" linguistic variables"> linguistic variables</a>, <a href="https://publications.waset.org/abstracts/search?q=hesitant%20fuzzy%20linguistic%20variables" title=" hesitant fuzzy linguistic variables"> hesitant fuzzy linguistic variables</a>, <a href="https://publications.waset.org/abstracts/search?q=distance%20function" title=" distance function"> distance function</a>, <a href="https://publications.waset.org/abstracts/search?q=group%20consensus" title=" group consensus "> group consensus </a> </p> <a href="https://publications.waset.org/abstracts/123438/group-consensus-of-hesitant-fuzzy-linguistic-variables-for-decision-making-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123438.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13160</span> Risk Analysis in Road Transport of Dangerous Goods Using Complex Multi-Criteria Analysis Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zoran%20Masoni%C4%8Di%C4%87">Zoran Masoničić</a>, <a href="https://publications.waset.org/abstracts/search?q=Sini%C5%A1a%20Dragutinovi%C4%87"> Siniša Dragutinović</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Lazovi%C4%87"> Ivan Lazović</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the management and organization of the road transport of dangerous goods, in addition to the existing influential criteria and restrictions that apply to the road transport in general, it is necessary to include an additional criteria related to the safety of people and the environment, considering the danger that comes from the substances being transported. In that manner, the decision making process becomes very complex and rather challenging task that is inherent to the application of complex numerical multi-criteria analysis methods. In this paper some initial results of application of complex analysis method in decision making process are presented. Additionally, the method for minimization or even complete elimination of subjective element in the decision making process is provided. The results obtained can be used in order to point the direction towards some measures have to be applied in order to minimize or completely annihilate the influence of the risk source identified. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20transport" title="road transport">road transport</a>, <a href="https://publications.waset.org/abstracts/search?q=dangerous%20goods" title=" dangerous goods"> dangerous goods</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20evaluation" title=" risk evaluation"> risk evaluation</a> </p> <a href="https://publications.waset.org/abstracts/193576/risk-analysis-in-road-transport-of-dangerous-goods-using-complex-multi-criteria-analysis-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193576.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">16</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13159</span> Analytic Hierarchy Process for the Container Terminal Choice from Multiple Terminals within the Port of Colombo</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20M.%20B.%20P.%20Abeysekara">G. M. B. P. Abeysekara</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20A.%20D.%20C.%20Wijerathna"> W. A. D. C. Wijerathna</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Terminal choice from the multiple terminals region is not a simple decision and it is very complex, because shipping lines should consider on influential factors for the terminal choice at once according to their requirement. Therefore, terminal choice is a multiple criterion decision making (MCDM) situation under a specially designed decision hierarchy. Identification of perspective of shipping lines regarding terminal choice is vital important for the decision makers regarding container terminals. Thus this study is evaluated perception on main and feeder shipping lines’ regarding port of Colombo container terminals, and ranked terminals according to shipping lines preference. Analytic Hierarchy Process (AHP) model is adapted to this study, since it has features similar to the MCDM, it is weighted every influential factor by using pair wise comparisons, and consistency of the decision makers’ judgments are checked to evaluate trustworthiness of gathered data. And rating method is used to rank the terminals within Port of Colombo by assigning particular preference values with respect to the criteria and sub criteria. According to the findings of this study, main lines’ mainly concern on water depth of approach channel, depth of berth, handling charges and handling equipment facilities. And feeder lines’ main concerns were handling equipment facilities, loading and discharging efficiency, depth of berth and handling charges. Findings of the study suggested concentrating regarding the emphasized areas in order to enhance the competitiveness of terminals, and to increase number of vessel callings at the Port of Colombo. Application of above finding of the terminals within Port of Colombo lead to a far better competition among terminals and would uplift the overall level of services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AHP" title="AHP">AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=Main%20and%20feeder%20shipping%20lines" title=" Main and feeder shipping lines"> Main and feeder shipping lines</a>, <a href="https://publications.waset.org/abstracts/search?q=criteria" title=" criteria"> criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=sub%20criteria" title=" sub criteria"> sub criteria</a> </p> <a href="https://publications.waset.org/abstracts/23048/analytic-hierarchy-process-for-the-container-terminal-choice-from-multiple-terminals-within-the-port-of-colombo" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23048.pdf" target="_blank" class="btn 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