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analysis</title> <meta name="description" content="Search results for: decision analysis"> <meta name="keywords" content="decision analysis"> <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" /> </a> <button class="d-block d-lg-none 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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="decision analysis"> <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> 30244</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: decision analysis</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">30244</span> Evaluation of a Personalized Online Decision Aid for Colorectal Cancer Screening: A Randomized Controlled Trial</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Linda%20P.%20M.%20Pluymen">Linda P. M. Pluymen</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariska%20M.%20G.%20Leeflang"> Mariska M. G. Leeflang</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Stegeman"> I. Stegeman</a>, <a href="https://publications.waset.org/abstracts/search?q=Henock%20G.%20Yebyo"> Henock G. Yebyo</a>, <a href="https://publications.waset.org/abstracts/search?q=Anne%20E.%20M.%20Brabers"> Anne E. M. Brabers</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20M.%20Bossuyt"> Patrick M. Bossuyt</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Dekker"> E. Dekker</a>, <a href="https://publications.waset.org/abstracts/search?q=Anke%20J.%20Woudstra"> Anke J. Woudstra</a>, <a href="https://publications.waset.org/abstracts/search?q=Mirjam%20P.%20Fransen"> Mirjam P. Fransen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Weighing the benefits and harms of colorectal cancer screening can be difficult for individuals. An existing online decision aid was expanded with a benefit-harm analysis to help people make an informed decision about participating in colorectal cancer screening. In a randomized controlled trial, we investigated whether those in the intervention group who used the decision aid with benefit-harm analysis were more certain about their decision than those in the control group who used the decision aid without benefit-harm analysis. Participants were 623 (39% of those invited) men and women aged 45 until 75 years old. Analyses were performed in those 386 participants (62%) who reported to have completed the entire decision aid. No statistically significant differences were observed between intervention and control group in decisional conflict score (mean difference 2.4, 95% CI -0.9, 5.6), clarity of values (mean difference 1.0, 95% CI -4.4, 6.6), deliberation score (mean difference 0.5, 95% CI -0.6, 1.7), anxiety score (mean difference 0.0, 95% CI -0.3, 0.3) and risk perception score (mean difference 0.1, -0.1, 0.3). Adding a benefit-harm analysis to an online decision aid did not improve informed decision making about participating in colorectal cancer screening. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=benefit-harm%20analysis" title="benefit-harm analysis">benefit-harm analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20aid" title=" decision aid"> decision aid</a>, <a href="https://publications.waset.org/abstracts/search?q=informed%20decision%20making" title=" informed decision making"> informed decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20decision%20making" title=" personalized decision making"> personalized decision making</a> </p> <a href="https://publications.waset.org/abstracts/144604/evaluation-of-a-personalized-online-decision-aid-for-colorectal-cancer-screening-a-randomized-controlled-trial" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144604.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">170</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">30243</span> A Straightforward Approach for Determining the Weights of Decision Makers Based on Angle Cosine and Projection Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiang%20Yang">Qiang Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ping-An%20Du"> Ping-An Du</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Group decision making with multiple attribute has attracted intensive concern in the decision analysis area. This paper assumes that the contributions of all the decision makers (DMs) are not equal to the decision process based on different knowledge and experience in group setting. The aim of this paper is to develop a novel approach to determine weights of DMs in the group decision making problems. In this paper, the weights of DMs are determined in the group decision environment via angle cosine and projection method. First of all, the average decision of all individual decisions is defined as the ideal decision. After that, we define the weight of each decision maker (DM) by aggregating the angle cosine and projection between individual decision and ideal decision with associated direction indicator μ. By using the weights of DMs, all individual decisions are aggregated into a collective decision. Further, the preference order of alternatives is ranked in accordance with the overall row value of collective decision. Finally, an example in a chemical company is provided to illustrate the developed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=angel%20cosine" title="angel cosine">angel cosine</a>, <a href="https://publications.waset.org/abstracts/search?q=ideal%20decision" title=" ideal decision"> ideal decision</a>, <a href="https://publications.waset.org/abstracts/search?q=projection%20method" title=" projection method"> projection method</a>, <a href="https://publications.waset.org/abstracts/search?q=weights%20of%20decision%20makers" title=" weights of decision makers"> weights of decision makers</a> </p> <a href="https://publications.waset.org/abstracts/35292/a-straightforward-approach-for-determining-the-weights-of-decision-makers-based-on-angle-cosine-and-projection-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35292.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">378</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">30242</span> Decision Support Tool for Green Roofs Selection: A Multicriteria Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Teot%C3%B3nio">I. Teotónio</a>, <a href="https://publications.waset.org/abstracts/search?q=C.O.%20Cruz"> C.O. Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=C.M.%20Silva"> C.M. Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Manso"> M. Manso</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diverse stakeholders show different concerns when choosing green roof systems. Also, green roof solutions vary in their cost and performance. Therefore, decision-makers continually face the difficult task of balancing benefits against green roofs costs. Decision analysis methods, as multicriteria analysis, can be used when the decision‑making process includes different perspectives, multiple objectives, and uncertainty. The present study adopts a multicriteria decision model to evaluate the installation of green roofs in buildings, determining the solution with the best trade-off between costs and benefits in agreement with the preferences of the users/investors. This methodology was applied to a real decision problem, assessing the preferences between different green roof systems in an existing building in Lisbon. This approach supports the decision-making process on green roofs and enables robust and informed decisions on urban planning while optimizing buildings retrofitting. <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=green%20roofs" title=" green roofs"> green roofs</a>, <a href="https://publications.waset.org/abstracts/search?q=investors%20preferences" title=" investors preferences"> investors preferences</a>, <a href="https://publications.waset.org/abstracts/search?q=multicriteria%20analysis" title=" multicriteria analysis"> multicriteria analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a> </p> <a href="https://publications.waset.org/abstracts/115903/decision-support-tool-for-green-roofs-selection-a-multicriteria-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115903.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">184</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">30241</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">30240</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">30239</span> Using Risk Management Indicators in Decision Tree Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adel%20Ali%20Elshaibani">Adel Ali Elshaibani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Risk management indicators augment the reporting infrastructure, particularly for the board and senior management, to identify, monitor, and manage risks. This enhancement facilitates improved decision-making throughout the banking organization. Decision tree analysis is a tool that visually outlines potential outcomes, costs, and consequences of complex decisions. It is particularly beneficial for analyzing quantitative data and making decisions based on numerical values. By calculating the expected value of each outcome, decision tree analysis can help assess the best course of action. In the context of banking, decision tree analysis can assist lenders in evaluating a customer’s creditworthiness, thereby preventing losses. However, applying these tools in developing countries may face several limitations, such as data availability, lack of technological infrastructure and resources, lack of skilled professionals, cultural factors, and cost. Moreover, decision trees can create overly complex models that do not generalize well to new data, known as overfitting. They can also be sensitive to small changes in the data, which can result in different tree structures and can become computationally expensive when dealing with large datasets. In conclusion, while risk management indicators and decision tree analysis are beneficial for decision-making in banks, their effectiveness is contingent upon how they are implemented and utilized by the board of directors, especially in the context of developing countries. It’s important to consider these limitations when planning to implement these tools in developing countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20management%20indicators" title="risk management indicators">risk management indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree%20analysis" title=" decision tree analysis"> decision tree analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20countries" title=" developing countries"> developing countries</a>, <a href="https://publications.waset.org/abstracts/search?q=board%20of%20directors" title=" board of directors"> board of directors</a>, <a href="https://publications.waset.org/abstracts/search?q=bank%20performance" title=" bank performance"> bank performance</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20management%20strategy" title=" risk management strategy"> risk management strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=banking%20institutions" title=" banking institutions"> banking institutions</a> </p> <a href="https://publications.waset.org/abstracts/176212/using-risk-management-indicators-in-decision-tree-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/176212.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">60</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">30238</span> Complex Decision Rules in the Form of Decision Trees</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Avinash%20S.%20Jagtap">Avinash S. Jagtap</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharad%20D.%20Gore"> Sharad D. Gore</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajendra%20G.%20Gurao"> Rajendra G. Gurao </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision rules become more and more complex as the number of conditions increase. As a consequence, the complexity of the decision rule also influences the time complexity of computer implementation of such a rule. Consider, for example, a decision that depends on four conditions A, B, C and D. For simplicity, suppose each of these four conditions is binary. Even then the decision rule will consist of 16 lines, where each line will be of the form: If A and B and C and D, then action 1. If A and B and C but not D, then action 2 and so on. While executing this decision rule, each of the four conditions will be checked every time until all the four conditions in a line are satisfied. The minimum number of logical comparisons is 4 whereas the maximum number is 64. This paper proposes to present a complex decision rule in the form of a decision tree. A decision tree divides the cases into branches every time a condition is checked. In the form of a decision tree, every branching eliminates half of the cases that do not satisfy the related conditions. As a result, every branch of the decision tree involves only four logical comparisons and hence is significantly simpler than the corresponding complex decision rule. The conclusion of this paper is that every complex decision rule can be represented as a decision tree and the decision tree is mathematically equivalent but computationally much simpler than the original complex decision rule <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=strategic" title="strategic">strategic</a>, <a href="https://publications.waset.org/abstracts/search?q=tactical" title=" tactical"> tactical</a>, <a href="https://publications.waset.org/abstracts/search?q=operational" title=" operational"> operational</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive" title=" adaptive"> adaptive</a>, <a href="https://publications.waset.org/abstracts/search?q=innovative" title=" innovative"> innovative</a> </p> <a href="https://publications.waset.org/abstracts/77189/complex-decision-rules-in-the-form-of-decision-trees" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77189.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">288</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">30237</span> Empirical and Indian Automotive Equity Portfolio Decision Support</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Sankar">P. Sankar</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20James%20Daniel%20Paul"> P. James Daniel Paul</a>, <a href="https://publications.waset.org/abstracts/search?q=Siddhant%20Sahu"> Siddhant Sahu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A brief review of the empirical studies on the methodology of the stock market decision support would indicate that they are at a threshold of validating the accuracy of the traditional and the fuzzy, artificial neural network and the decision trees. Many researchers have been attempting to compare these models using various data sets worldwide. However, the research community is on the way to the conclusive confidence in the emerged models. This paper attempts to use the automotive sector stock prices from National Stock Exchange (NSE), India and analyze them for the intra-sectorial support for stock market decisions. The study identifies the significant variables and their lags which affect the price of the stocks using OLS analysis and decision tree classifiers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Indian%20automotive%20sector" title="Indian automotive sector">Indian automotive sector</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20decisions" title=" stock market decisions"> stock market decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=equity%20portfolio%20analysis" title=" equity portfolio analysis"> equity portfolio analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree%20classifiers" title=" decision tree classifiers"> decision tree classifiers</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20data%20analysis" title=" statistical data analysis"> statistical data analysis</a> </p> <a href="https://publications.waset.org/abstracts/6454/empirical-and-indian-automotive-equity-portfolio-decision-support" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6454.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">485</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">30236</span> Employing Operations Research at Universities to Build Management Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdallah%20A.%20Hlayel">Abdallah A. Hlayel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Operations research science (OR) deals with good success in developing and applying scientific methods for problem solving and decision-making. However, by using OR techniques, we can enhance the use of computer decision support systems to achieve optimal management for institutions. OR applies comprehensive analysis including all factors that affect on it and builds mathematical modeling to solve business or organizational problems. In addition, it improves decision-making and uses available resources efficiently. The adoption of OR by universities would definitely contributes to the development and enhancement of the performance of OR techniques. This paper provides an understanding of the structures, approaches and models of OR in problem solving and decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=best%20candidates%27%20method" title="best candidates' method">best candidates' method</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=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=operations%20research" title=" operations research"> operations research</a> </p> <a href="https://publications.waset.org/abstracts/20107/employing-operations-research-at-universities-to-build-management-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20107.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">445</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">30235</span> Framework for the Modeling of the Supply Chain Collaborative Planning Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20P%C3%A9rez">D. Pérez</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20M.%20E.%20Alemany"> M. M. E. Alemany</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work a Framework to model the Supply Chain (SC) Collaborative Planning (CP) Process is proposed, and particularly its Decisional view. The main Framework contributions with regards to previous related works are the following, 1) the consideration of not only the Decision view, the most important one due to the Process type, but other additional three views which are the Physical, Organisation and Information ones, closely related and complementing the Decision View, 2) the joint consideration of two interdependence types, the Temporal (among Decision Centres belonging to different Decision Levels) and Spatial (among Decision Centres belonging to the same Decision Level) to support the distributed Decision-Making process in SC where several decision Centres interact among them in a collaborative manner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collaborative%20planning" title="collaborative planning">collaborative planning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20view" title=" decision view"> decision view</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20decision-making" title=" distributed decision-making"> distributed decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=framework" title=" framework"> framework</a> </p> <a href="https://publications.waset.org/abstracts/32456/framework-for-the-modeling-of-the-supply-chain-collaborative-planning-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32456.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">468</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">30234</span> District Selection for Geotechnical Settlement Suitability Using GIS and Multi Criteria Decision Analysis: A Case Study in Denizli, Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erdal%20Akyol">Erdal Akyol</a>, <a href="https://publications.waset.org/abstracts/search?q=Mutlu%20Alkan"> Mutlu Alkan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multi criteria decision analysis (MDCA) covers both data and experience. It is very common to solve the problems with many parameters and uncertainties. GIS supported solutions improve and speed up the decision process. Weighted grading as a MDCA method is employed for solving the geotechnical problems. In this study, geotechnical parameters namely soil type; SPT (N) blow number, shear wave velocity (Vs) and depth of underground water level (DUWL) have been engaged in MDCA and GIS. In terms of geotechnical aspects, the settlement suitability of the municipal area was analyzed by the method. MDCA results were compatible with the geotechnical observations and experience. The method can be employed in geotechnical oriented microzoning studies if the criteria are well evaluated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS" title="GIS">GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20analysis" title=" spatial analysis"> spatial analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20criteria%20decision%20analysis" title=" multi criteria decision analysis"> multi criteria decision analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=geotechnics" title=" geotechnics"> geotechnics</a> </p> <a href="https://publications.waset.org/abstracts/9032/district-selection-for-geotechnical-settlement-suitability-using-gis-and-multi-criteria-decision-analysis-a-case-study-in-denizli-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9032.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">459</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">30233</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">30232</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">30231</span> Statistical Approach to Identify Stress and Biases Impairing Decision-Making in High-Risk Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ph.%20Fauquet-Alekhine">Ph. Fauquet-Alekhine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision-making occurs several times an hour when working in high risk industry and an erroneous choice might have undesirable outcomes for people and the environment surrounding the industrial plant. Industrial decisions are very often made in a context of acute stress. Time pressure is a crucial stressor leading decision makers sometimes to boost up the decision-making process and if it is not possible then shift to the simplest strategy. We thus found it interesting to update the characterization of the stress factors impairing decision-making at Chinon Nuclear Power Plant (France) in order to optimize decision making contexts and/or associated processes. The investigation was based on the analysis of reports addressing safety events over the last 3 years. Among 93 reports, those explicitly addressing decision-making issues were identified. Characterization of each event was undertaken in terms of three criteria: stressors, biases impairing decision making and weaknesses of the decision-making process. The statistical analysis showed that biases were distributed over 10 possibilities among which the hypothesis confirmation bias was clearly salient. No significant correlation was found between criteria. The analysis indicated that the main stressor was time pressure and highlights an unexpected form of stressor: the trust asymmetry principle of the expert. The analysis led to the conclusion that this stressor impaired decision-making from a psychological angle rather than from a physiological angle: it induces defensive bias of self-esteem, self-protection associated with a bias of confirmation. This leads to the hypothesis that this stressor can intervene in some cases without being detected, and to the hypothesis that other stressors of the same kind might occur without being detected too. Further investigations addressing these hypotheses are considered. The analysis also led to the conclusion that dealing with these issues implied i) decision-making methods being well known to the workers and automated and ii) the decision-making tools being well known and strictly applied. Training was thus adjusted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bias" title="bias">bias</a>, <a href="https://publications.waset.org/abstracts/search?q=expert" title=" expert"> expert</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20risk%20industry" title=" high risk industry"> high risk industry</a>, <a href="https://publications.waset.org/abstracts/search?q=stress." title=" stress."> stress.</a> </p> <a href="https://publications.waset.org/abstracts/108795/statistical-approach-to-identify-stress-and-biases-impairing-decision-making-in-high-risk-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/108795.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">112</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">30230</span> Decision Support System Based On GIS and MCDM to Identify Land Suitability for Agriculture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelkader%20Mendas">Abdelkader Mendas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The integration of MultiCriteria Decision Making (MCDM) approaches in a Geographical Information System (GIS) provides a powerful spatial decision support system which offers the opportunity to efficiently produce the land suitability maps for agriculture. Indeed, GIS is a powerful tool for analyzing spatial data and establishing a process for decision support. Because of their spatial aggregation functions, MCDM methods can facilitate decision making in situations where several solutions are available, various criteria have to be taken into account and decision-makers are in conflict. The parameters and the classification system used in this work are inspired from the FAO (Food and Agriculture Organization) approach dedicated to a sustainable agriculture. A spatial decision support system has been developed for establishing the land suitability map for agriculture. It incorporates the multicriteria analysis method ELECTRE Tri (ELimitation Et Choix Traduisant la REalité) in a GIS within the GIS program package environment. The main purpose of this research is to propose a conceptual and methodological framework for the combination of GIS and multicriteria methods in a single coherent system that takes into account the whole process from the acquisition of spatially referenced data to decision-making. In this context, a spatial decision support system for developing land suitability maps for agriculture has been developed. The algorithm of ELECTRE Tri is incorporated into a GIS environment and added to the other analysis functions of GIS. This approach has been tested on an area in Algeria. A land suitability map for durum wheat has been produced. Through the obtained results, it appears that ELECTRE Tri method, integrated into a GIS, is better suited to the problem of land suitability for agriculture. The coherence of the obtained maps confirms the system effectiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multicriteria%20decision%20analysis" title="multicriteria decision analysis">multicriteria decision analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=geographical%20information%20system" title=" geographical information system"> geographical information system</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20suitability%20for%20agriculture" title=" land suitability for agriculture"> land suitability for agriculture</a> </p> <a href="https://publications.waset.org/abstracts/22022/decision-support-system-based-on-gis-and-mcdm-to-identify-land-suitability-for-agriculture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22022.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">638</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">30229</span> Financial Literacy as an Important Skill for Household Financial Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rimac%20Smiljanic%20Ana">Rimac Smiljanic Ana</a>, <a href="https://publications.waset.org/abstracts/search?q=Pepur%20Sandra"> Pepur Sandra</a>, <a href="https://publications.waset.org/abstracts/search?q=Bulog%20Ivana"> Bulog Ivana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Financial decision-making in the household is not simple, and it demands that the decision-maker has proper knowledge and skills. Usually, high uncertainty, risk, and stress surround household financial decision-making since it is extremely important and critical for household wealth accumulation and for the well-being of all household members. Generally, skilful people tend to have higher confidence in certain tasks they perform, and they achieve better results. Therefore, in the household context, the possession of certain skills by the ones who make financial decisions for the household is of particular importance. This paper addresses financial literacy as an important skill for household decision-making. Apart from financial literacy, the paper also considers other factors, such as employment, education, and age, as significant for household financial decision-making. The analysis is based on quantitative individual-level survey data. The data collection was conducted during January and February 2021 in Croatia through an online survey. To reach a wide variety of participants, the snowball sampling method was used. The result revealed interesting and somewhat puzzling results. Our results point to the importance of financial literacy skills for household decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=skill" title="skill">skill</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20literacy" title=" financial literacy"> financial literacy</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=household%20financijal%20decision%20making" title=" household financijal decision making"> household financijal decision making</a> </p> <a href="https://publications.waset.org/abstracts/166489/financial-literacy-as-an-important-skill-for-household-financial-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166489.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">97</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">30228</span> Decision Traps of Military Leaders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmet%20Ali%20Turk">Ahmet Ali Turk</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhterem%20Bayram"> Muhterem Bayram</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, it is intended to determine that what kind of traps military leaders fall into during the decision making and how they make take a measure against them. In the study, the domestic and foreign literature on the military leadership has been reviewed and military decision-making process of the different countries has been introduced and study has been designed by making interviews as a sample with 50 people who had made military leadership. The issues resulting from the literature review that led to wrong decisions of military leaders and the points obtained as a result of interview have been evaluated by comparing. As a result, it has been emerged that the personnel who have made especially military leadership are in tendency of making the wrong decision due to decision traps such as excessive self-confidence, lack of experience, unplanned movement, hasty decision making and prohibitive conditions and also the need for increased situational awareness about this condition has been emerged. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=military%20leadership" title="military leadership">military leadership</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=military%20decision%20making" title=" military decision making"> military decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=military%20decision%20making%20traps" title=" military decision making traps"> military decision making traps</a> </p> <a href="https://publications.waset.org/abstracts/47680/decision-traps-of-military-leaders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47680.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">354</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">30227</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">30226</span> Financial Decision-Making among Finance Students: An Empirical Study from the Czech Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Barbora%20Chmel%C3%ADkov%C3%A1">Barbora Chmelíková</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Making sound financial decisions is an essential skill which can have an impact on life of each consumer of financial products. The aim of this paper is to examine decision-making concerning financial matters and personal finance. The selected target group was university students majoring in finance related fields. The study was conducted in the Czech Republic at Masaryk University in 2015. In order to analyze financial decision-making questions related to basic finance decisions were developed to address the research objective. The results of the study suggest gaps in detecting best solutions to given financial decision-making questions among finance students. The analysis results indicate relation between financial decision-making and own experience with holding and using concrete financial products. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=financial%20decision-making" title="financial decision-making">financial decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20literacy" title=" financial literacy"> financial literacy</a>, <a href="https://publications.waset.org/abstracts/search?q=personal%20finance" title=" personal finance"> personal finance</a>, <a href="https://publications.waset.org/abstracts/search?q=university%20students" title=" university students"> university students</a> </p> <a href="https://publications.waset.org/abstracts/55289/financial-decision-making-among-finance-students-an-empirical-study-from-the-czech-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55289.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">326</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">30225</span> A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gizelle%20K.%20Vianna">Gizelle K. Vianna</a>, <a href="https://publications.waset.org/abstracts/search?q=Gustavo%20S.%20Oliveira"> Gustavo S. Oliveira</a>, <a href="https://publications.waset.org/abstracts/search?q=Gabriel%20V.%20Cunha"> Gabriel V. Cunha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of decision support systems in agriculture may help monitoring large fields of crops by automatically detecting the symptoms of foliage diseases. In our work, we designed and implemented a decision support system for small tomatoes producers. This work investigates ways to recognize the late blight disease from the analysis of digital images of tomatoes, using a pair of multilayer perceptron neural networks. The networks outputs are used to generate repainted tomato images in which the injuries on the plant are highlighted, and to calculate the damage level of each plant. Those levels are then used to construct a situation map of a farm where a cellular automata simulates the outbreak evolution over the fields. The simulator can test different pesticides actions, helping in the decision on when to start the spraying and in the analysis of losses and gains of each choice of action. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=cellular%20automata" title=" cellular automata"> cellular automata</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern%20recognition" title=" pattern recognition"> pattern recognition</a> </p> <a href="https://publications.waset.org/abstracts/63771/a-neuro-automata-decision-support-system-for-the-control-of-late-blight-in-tomato-crops" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63771.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">455</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">30224</span> Decision Support for Modularisation: Engineering Construction Case Studies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rolla%20Monib">Rolla Monib</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20Ian%20Goodier"> Chris Ian Goodier</a>, <a href="https://publications.waset.org/abstracts/search?q=Alistair%20Gibb"> Alistair Gibb</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to investigate decision support strategies in the EC sector to determine the most appropriate degree of modularization. This is achieved through three oil and gas (O&G) and two power plant case studies via semi-structured interviews (n=59 and n=27, respectively), analysis of project documents, and case study-specific semi-structured validation interviews (n=12 and n=8). New terminology to distinguish degrees of modularization is proposed, along with a decision-making support checklist and a diagrammatic decision-making support figure. Results indicate that the EC sub-sectors were substantially more satisfied with the application of component, structural, or traditional modularization compared with system modularization for some types of modules. Key drivers for decisions on the degree of modularization vary across module types. This paper can help the EC sector determine the most suitable degree of modularization via a decision-making support strategy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modularization" title="modularization">modularization</a>, <a href="https://publications.waset.org/abstracts/search?q=engineering%20construction" title=" engineering construction"> engineering construction</a>, <a href="https://publications.waset.org/abstracts/search?q=case%20study" title=" case study"> case study</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title=" decision support"> decision support</a> </p> <a href="https://publications.waset.org/abstracts/170602/decision-support-for-modularisation-engineering-construction-case-studies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170602.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">94</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">30223</span> Marketing Mix, Motivation and the Tendency of Consumer Decision Making in Buying Condominium</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bundit%20Pungnirund">Bundit Pungnirund</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research aimed to study the relationship between marketing mix attitudes, motivation of buying decision and tendency of consumer decision making in buying the condominiums in Thailand. This study employed by survey and quantitative research. The questionnaire was used to collect the data from 400 sampled of customers who interested in buying condominium in Bangkok. The descriptive statistics and Pearson’s correlation coefficient analysis were used to analyze data. The research found that marketing mixed factors in terms of product and price were related to buying decision making tendency in terms of price and room size. Marketing mixed factors in terms of price, place and promotion were related to buying decision making tendency in term of word of mouth. Consumers’ buying motivation in terms of social acceptance, self-esteemed and self-actualization were related to buying decision making tendency in term of room size. In addition, motivation in self-esteemed was related to buying decision making tendency within a year. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=condominium" title="condominium">condominium</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20mix" title=" marketing mix"> marketing mix</a>, <a href="https://publications.waset.org/abstracts/search?q=motivation" title=" motivation"> motivation</a>, <a href="https://publications.waset.org/abstracts/search?q=tendency%20of%20consumer%20decision%20making" title=" tendency of consumer decision making"> tendency of consumer decision making</a> </p> <a href="https://publications.waset.org/abstracts/55233/marketing-mix-motivation-and-the-tendency-of-consumer-decision-making-in-buying-condominium" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55233.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">309</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">30222</span> A Ratio-Weighted Decision Tree Algorithm for Imbalance Dataset Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Doyin%20Afolabi">Doyin Afolabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Phillip%20Adewole"> Phillip Adewole</a>, <a href="https://publications.waset.org/abstracts/search?q=Oladipupo%20Sennaike"> Oladipupo Sennaike</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most well-known classifiers, including the decision tree algorithm, can make predictions on balanced datasets efficiently. However, the decision tree algorithm tends to be biased towards imbalanced datasets because of the skewness of the distribution of such datasets. To overcome this problem, this study proposes a weighted decision tree algorithm that aims to remove the bias toward the majority class and prevents the reduction of majority observations in imbalance datasets classification. The proposed weighted decision tree algorithm was tested on three imbalanced datasets- cancer dataset, german credit dataset, and banknote dataset. The specificity, sensitivity, and accuracy metrics were used to evaluate the performance of the proposed decision tree algorithm on the datasets. The evaluation results show that for some of the weights of our proposed decision tree, the specificity, sensitivity, and accuracy metrics gave better results compared to that of the ID3 decision tree and decision tree induced with minority entropy for all three datasets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <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=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=imbalance%20dataset" title=" imbalance dataset"> imbalance dataset</a> </p> <a href="https://publications.waset.org/abstracts/157609/a-ratio-weighted-decision-tree-algorithm-for-imbalance-dataset-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157609.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">137</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">30221</span> Factors That Influence Decision Making of Foreign Volunteer Tourists in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Paramet%20Damchoo">Paramet Damchoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to study the factors that influence the decision making of foreign volunteer tourists in Thailand. A sample size was 400 drawn from 10 provinces of Thailand using cluster sampling method. The factor analysis was used to analysis the data. The findings indicate that volunteer tourism which was based in Thailand contained a total of 45 activities which could be divided into 4 categories. The most of these tourists were from Europe including UK and Scandinavia which was 54.50 percent. Moreover, the tourists were male rather than female and 63.50 Percent of them ware younger than 20 years old. It is also found that there are 67.00 percent of the tourists used website to find where the volunteer tourism was based. Finally, the factors that influence the decision making of foreign volunteer tourists in Thailand consist of a wide variety of activities together with a flexibility in their activities and also low prices. <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=volunteer%20tourism" title=" volunteer tourism"> volunteer tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=special%20interest%20tourism" title=" special interest tourism"> special interest tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=GAP%20year" title=" GAP year "> GAP year </a> </p> <a href="https://publications.waset.org/abstracts/35411/factors-that-influence-decision-making-of-foreign-volunteer-tourists-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35411.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">344</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">30220</span> A Development Model of Factors Affecting Decision Making to Select Successor in Family Business of Thailand </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Polvasut%20Mahaiamsiri">Polvasut Mahaiamsiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Piraphong%20Foosiri"> Piraphong Foosiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research is to explore the model of factors affecting decision making to select successor in family business of Thailand. A Structural Equation Model (SEM) was created from relevant theories and researches. Consequently, examine and analyse, the causal relation factors of Succession Plan, Recruitment Process and Strategic Planning, whether they have direct or indirect effects on Decision Making to Select Successor in family business. Units of analysis are selected from the family business, totalling 300 sampling. Population sampling is current owners or CEO from the percentage of six district areas in Thailand with multi-stage sampling. A set of questionnaires is used to collect data. An analysis of structural equation modelling (SEM) technique using AMOS 21 program is conducted to test the hypotheses and confirmatory factor analysis is performed and shows that these variables can be tested. The finding of this study revealed that these factors are separate constructs that combine to determine decision making to select successors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=succession%20plan" title="succession plan">succession plan</a>, <a href="https://publications.waset.org/abstracts/search?q=family%20business" title=" family business"> family business</a>, <a href="https://publications.waset.org/abstracts/search?q=recruitment%20process" title=" recruitment process"> recruitment process</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20planning" title=" strategic planning"> strategic planning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20to%20select%20successor" title=" decision making to select successor"> decision making to select successor</a> </p> <a href="https://publications.waset.org/abstracts/138534/a-development-model-of-factors-affecting-decision-making-to-select-successor-in-family-business-of-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138534.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">208</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">30219</span> The Role of Marketing Information System on Decision-Making: An Applied Study on Algeria Telecoms Mobile "MOBILIS"</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benlakhdar%20Mohamed%20Larbi">Benlakhdar Mohamed Larbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yagoub%20Asma"> Yagoub Asma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: This study aims at highlighting the significance and importance of utilizing marketing information system (MKIS) on decision-making, by clarifying the need for quick and efficient decision-making due to time saving and preventing of duplication of work. Design, methodology, approach: The study shows the roles of each part of MKIS for developing marketing strategy, which present a real challenge to individuals and institutions in an era characterized by uncertainty and clarifying the importance of each part separately, depending on decision type and the nature of the situation. The empirical research method was evaluated by specialized experts, conducted by means of questionnaires. Correlation analysis was employed to test the validity of the procedure. Results: The empirical study findings confirmed positive relationships between the level of utilizing and adopting ‘decision support system and marketing intelligence’ and the success of an organizational decision-making, and provide the organization with a competitive advantage as it allows the organization to solve problems. Originality/value: The study offer better understanding of performance- increasing market share as an organizational decision making based on marketing information system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=database" title="database">database</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20research" title=" marketing research"> marketing research</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20intelligence" title=" marketing intelligence"> marketing intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making" title=" decision-making "> decision-making </a> </p> <a href="https://publications.waset.org/abstracts/34180/the-role-of-marketing-information-system-on-decision-making-an-applied-study-on-algeria-telecoms-mobile-mobilis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34180.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">330</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">30218</span> A Behaviourally Plausible Decision Centred Perspective on the Role of Corporate Governance in Corporate Failures </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Navdeep%20Kaur">Navdeep Kaur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The primary focus of this study is to answer “What is the role of corporate governance in corporate failures? Does poor corporate governance lead to corporate failures? If so, how?”. In doing so, the study examines the literature from multiple fields, including corporate governance, corporate failures and organizational decision making, and presents a research gap to analyze and explore the relationship between corporate governance practices and corporate failures through a behavioral lens. In approaching this, a qualitative research methodology is adopted to analyze the failure of Enron Corporation (United States). The research considered the case study organizations as the primary unit of analysis and the decision-makers as the secondary unit of analysis. Based on this research approach, the study reports the analytical results drawn from extensive and triangulated secondary data. The study then interprets the results in the context of the theoretical synthesis. The study contributes towards filling a gap in the research and presents a behaviourally plausible decision centered model of the role of corporate governance in corporate failures. The model highlights the critical role of the behavioral aspects of corporate governance decision making in corporate failures and focuses attention on the under-explored aspects of corporate governance decision making. The study also suggests a further understanding of ‘A Behavioral Theory of the Firm’ in relation to corporate failures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavior" title="behavior">behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=corporate%20failure" title=" corporate failure"> corporate failure</a>, <a href="https://publications.waset.org/abstracts/search?q=corporate%20governance" title=" corporate governance"> corporate governance</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=values" title=" values"> values</a> </p> <a href="https://publications.waset.org/abstracts/134132/a-behaviourally-plausible-decision-centred-perspective-on-the-role-of-corporate-governance-in-corporate-failures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134132.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">132</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">30217</span> Decision Making Communication in the Process of Technologies Commercialization: Archival Analysis of the Process Content</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vaida%20Zemlickiene">Vaida Zemlickiene</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Scientists around the world and practitioners are working to identify the factors that influence the results of technology commercialization and to propose the ideal model for the technology commercialization process. In other words, all stakeholders of technology commercialization seek to find a formula or set of rules to succeed in commercializing technologies in order to avoid unproductive investments. In this article, the process of commercialization technology is understood as the process of transforming inventions into marketable products, services, and processes, or the path from the idea of using an invention to a product that incorporates process from 1 to 9 technology readiness level (TRL). There are many publications in the field of management literature, which are aimed at managing the commercialization process. However, there is an apparent lack of research for communication in decision-making in the process of technology commercialization. Works were done in the past, and the last decade's global research analysis led to the unambiguous conclusion that the methodological framework is not mature enough to be of practical use in business. The process of technology commercialization and the decisions made in the process should be explored in-depth. An archival analysis is performed to find insights into decision-making communication in the process of technologies commercialization, to find out the content of technology commercialization process: decision-making stages and participants, to analyze the internal factors of technology commercialization, to perform their critical analysis, to analyze the concept of successful/unsuccessful technology commercialization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20process%20of%20technology%20commercialization" title="the process of technology commercialization">the process of technology commercialization</a>, <a href="https://publications.waset.org/abstracts/search?q=communication%20in%20decision-making%20process" title=" communication in decision-making process"> communication in decision-making process</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20content%20of%20technology%20commercialization%20process" title=" the content of technology commercialization process"> the content of technology commercialization process</a>, <a href="https://publications.waset.org/abstracts/search?q=successful%2Funsuccessful%20technology%20commercialization" title=" successful/unsuccessful technology commercialization"> successful/unsuccessful technology commercialization</a> </p> <a href="https://publications.waset.org/abstracts/126115/decision-making-communication-in-the-process-of-technologies-commercialization-archival-analysis-of-the-process-content" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126115.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">153</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">30216</span> Adolescents’ Role in Family Buying Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Harleen%20Kaur">Harleen Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Deepika%20Jindal%20Singla"> Deepika Jindal Singla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Buying decision making is a complicated process, in which consumer’s decision is under the impact of others. The buying decision making is directed in a way that they have to act as customers in the society. Media and family are key socialising agents for adolescents’. Moreover, changes in the socio-cultural environment in India necessitate that adolescents’ influence in family’s buying decision-making should be investigated. In comparison to Western society, Indian is quite different, when compared in terms of family composition and structure, behaviour, values and norms which effect adolescents’ buying decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adolescents" title="adolescents">adolescents</a>, <a href="https://publications.waset.org/abstracts/search?q=buying%20behavior" title=" buying behavior"> buying behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20urban%20families" title=" Indian urban families"> Indian urban families</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20socialization" title=" consumer socialization"> consumer socialization</a> </p> <a href="https://publications.waset.org/abstracts/69560/adolescents-role-in-family-buying-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69560.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">478</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">30215</span> Strategic Decision Making Practice in Croatia: Which Decision Making Style is More Effective?</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ivana%20Bulog">Ivana Bulog</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision making is a vital part of the business world and any other field of human endeavor. Which way a business organization will take, and where that way will lead it, depends on broad range of decisions made by managers in the managerial structure. Strategic decisions are of the greatest importance for organizational success. Although much empirical research has been done trying to describe and explain its nature and effectiveness, knowledge about strategic decision making is still incomplete. This paper explores the nature of strategic decision making in particular setting - in Croatian companies. The main focus of this research is on the style that decision makers on strategic management level are following when making decisions of life importance for their companies. Two main decision making style that explain the way decision maker collects and processes available information and performs all the activities in strategic decision making process were empirical tested: rational and intuitive one. Besides analyzing their existence on strategic management level in Croatian companies, their effectiveness is analyzed as well. Results showed that decision makers at strategic management level are following both styles somewhat equally in order to function effectively, and that intuitive style is more effective when considering decisions outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20style" title="decision making style">decision making style</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20effectiveness" title=" decision making effectiveness"> decision making effectiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20decisions" title=" strategic decisions"> strategic decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=management%20sciences" title=" management sciences"> management sciences</a> </p> <a 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