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Sirbiladze</title> <meta name="description" content="Search results for: Gia Sirbiladze"> <meta name="keywords" content="Gia Sirbiladze"> <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="Gia Sirbiladze"> <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> 6</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Gia Sirbiladze</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Two Stage Fuzzy Methodology to Evaluate the Credit Risks of Investment Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20Badagadze">O. Badagadze</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Sirbiladze"> G. Sirbiladze</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Khutsishvili"> I. Khutsishvili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The work proposes a decision support methodology for the credit risk minimization in selection of investment projects. The methodology provides two stages of projects’ evaluation. Preliminary selection of projects with minor credit risks is made using the Expertons Method. The second stage makes ranking of chosen projects using the Possibilistic Discrimination Analysis Method. The latter is a new modification of a well-known Method of Fuzzy Discrimination Analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=expert%20valuations" title="expert valuations">expert valuations</a>, <a href="https://publications.waset.org/abstracts/search?q=expertons" title=" expertons"> expertons</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20project%20risks" title=" investment project risks"> investment project risks</a>, <a href="https://publications.waset.org/abstracts/search?q=positive%20and%20negative%20discriminations" title=" positive and negative discriminations"> positive and negative discriminations</a>, <a href="https://publications.waset.org/abstracts/search?q=possibility%20distribution" title=" possibility distribution"> possibility distribution</a> </p> <a href="https://publications.waset.org/abstracts/9450/two-stage-fuzzy-methodology-to-evaluate-the-credit-risks-of-investment-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9450.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">676</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">5</span> Fuzzy Vehicle Routing Problem for Extreme Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20Sirbiladze">G. Sirbiladze</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Ghvaberidze"> B. Ghvaberidze</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Matsaberidze"> B. Matsaberidze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A fuzzy vehicle routing problem is considered in the possibilistic environment. A new criterion, maximization of expectation of reliability for movement on closed routes is constructed. The objective of the research is to implement a two-stage scheme for solution of this problem. Based on the algorithm of preferences on the first stage, the sample of so-called “promising” routes will be selected. On the second stage, for the selected promising routes new bi-criteria problem will be solved - minimization of total traveled distance and maximization of reliability of routes. The problem will be stated as a fuzzy-partitioning problem. Two possible solutions of this scheme are considered. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle%20routing%20problem" title="vehicle routing problem">vehicle routing problem</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20partitioning%20problem" title=" fuzzy partitioning problem"> fuzzy partitioning problem</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple-criteria%20optimization" title=" multiple-criteria optimization"> multiple-criteria optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=possibility%20theory" title=" possibility theory"> possibility theory</a> </p> <a href="https://publications.waset.org/abstracts/9460/fuzzy-vehicle-routing-problem-for-extreme-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9460.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">547</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">4</span> Possibilistic Aggregations in the Investment Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Khutsishvili">I. Khutsishvili</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Sirbiladze"> G. Sirbiladze</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Ghvaberidze"> B. Ghvaberidze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work proposes a fuzzy methodology to support the investment decisions. While choosing among competitive investment projects, the methodology makes ranking of projects using the new aggregation OWA operator – AsPOWA, presented in the environment of possibility uncertainty. For numerical evaluation of the weighting vector associated with the AsPOWA operator the mathematical programming problem is constructed. On the basis of the AsPOWA operator the projects’ group ranking maximum criteria is constructed. The methodology also allows making the most profitable investments into several of the project using the method developed by the authors for discrete possibilistic bicriteria problems. The article provides an example of the investment decision-making that explains the work of the proposed methodology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=expert%20evaluations" title="expert evaluations">expert evaluations</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20decision%20making" title=" investment decision making"> investment decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=OWA%20operator" title=" OWA operator"> OWA operator</a>, <a href="https://publications.waset.org/abstracts/search?q=possibility%20uncertainty" title=" possibility uncertainty"> possibility uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/9558/possibilistic-aggregations-in-the-investment-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9558.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">558</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">3</span> Probability Fuzzy Aggregation Operators in Vehicle Routing Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anna%20Sikharulidze">Anna Sikharulidze</a>, <a href="https://publications.waset.org/abstracts/search?q=Gia%20Sirbiladze"> Gia Sirbiladze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For the evaluation of unreliability levels of movement on the closed routes in the vehicle routing problem, the fuzzy operators family is constructed. The interactions between routing factors in extreme conditions on the roads are considered. A multi-criteria decision-making model (MCDM) is constructed. Constructed aggregations are based on the Choquet integral and the associated probability class of a fuzzy measure. Propositions on the correctness of the extension are proved. Connections between the operators and the compositions of dual triangular norms are described. The conjugate connections between the constructed operators are shown. Operators reflect interactions among all the combinations of the factors in the fuzzy MCDM process. Several variants of constructed operators are used in the decision-making problem regarding the assessment of unreliability and possibility levels of movement on closed routes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle%20routing%20problem" title="vehicle routing problem">vehicle routing problem</a>, <a href="https://publications.waset.org/abstracts/search?q=associated%20probabilities%20of%20a%20fuzzy%20measure" title=" associated probabilities of a fuzzy measure"> associated probabilities of a fuzzy measure</a>, <a href="https://publications.waset.org/abstracts/search?q=choquet%20integral" title=" choquet integral"> choquet integral</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20aggregation%20operator" title=" fuzzy aggregation operator"> fuzzy aggregation operator</a> </p> <a href="https://publications.waset.org/abstracts/60841/probability-fuzzy-aggregation-operators-in-vehicle-routing-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60841.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">2</span> Fuzzy Approach for the Evaluation of Feasibility Levels of Vehicle Movement on the Disaster-Streaking Zone’s Roads</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gia%20Sirbiladze">Gia Sirbiladze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Route planning problems are among the activities that have the highest impact on logistical planning, transportation, and distribution because of their effects on efficiency in resource management, service levels, and client satisfaction. In extreme conditions, the difficulty of vehicle movement between different customers causes the imprecision of time of movement and the uncertainty of the feasibility of movement. A feasibility level of vehicle movement on the closed route of the disaster-streaking zone is defined for the construction of an objective function. Experts’ evaluations of the uncertain parameters in q-rung ortho-pair fuzzy numbers (q-ROFNs) are presented. A fuzzy bi-objective combinatorial optimization problem of fuzzy vehicle routine problem (FVRP) is constructed based on the technique of possibility theory. The FVRP is reduced to the bi-criteria partitioning problem for the so-called “promising” routes which were selected from the all-admissible closed routes. The convenient selection of the “promising” routes allows us to solve the reduced problem in real-time computing. For the numerical solution of the bi-criteria partitioning problem, the -constraint approach is used. The main results' support software is designed. The constructed model is illustrated with a numerical example. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=q-rung%20ortho-pair%20fuzzy%20sets" title="q-rung ortho-pair fuzzy sets">q-rung ortho-pair fuzzy sets</a>, <a href="https://publications.waset.org/abstracts/search?q=facility%20location%20selection%20problem" title=" facility location selection problem"> facility location selection problem</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-objective%20combinatorial%20optimization%20problem" title=" multi-objective combinatorial optimization problem"> multi-objective combinatorial optimization problem</a>, <a href="https://publications.waset.org/abstracts/search?q=partitioning%20problem" title=" partitioning problem"> partitioning problem</a> </p> <a href="https://publications.waset.org/abstracts/160984/fuzzy-approach-for-the-evaluation-of-feasibility-levels-of-vehicle-movement-on-the-disaster-streaking-zones-roads" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160984.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">134</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">1</span> Fuzzy Multi-Objective Approach for Emergency Location Transportation Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bidzina%20Matsaberidze">Bidzina Matsaberidze</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Sikharulidze"> Anna Sikharulidze</a>, <a href="https://publications.waset.org/abstracts/search?q=Gia%20Sirbiladze"> Gia Sirbiladze</a>, <a href="https://publications.waset.org/abstracts/search?q=Bezhan%20Ghvaberidze"> Bezhan Ghvaberidze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the modern world emergency management decision support systems are actively used by state organizations, which are interested in extreme and abnormal processes and provide optimal and safe management of supply needed for the civil and military facilities in geographical areas, affected by disasters, earthquakes, fires and other accidents, weapons of mass destruction, terrorist attacks, etc. Obviously, these kinds of extreme events cause significant losses and damages to the infrastructure. In such cases, usage of intelligent support technologies is very important for quick and optimal location-transportation of emergency service in order to avoid new losses caused by these events. Timely servicing from emergency service centers to the affected disaster regions (response phase) is a key task of the emergency management system. Scientific research of this field takes the important place in decision-making problems. Our goal was to create an expert knowledge-based intelligent support system, which will serve as an assistant tool to provide optimal solutions for the above-mentioned problem. The inputs to the mathematical model of the system are objective data, as well as expert evaluations. The outputs of the system are solutions for Fuzzy Multi-Objective Emergency Location-Transportation Problem (FMOELTP) for disasters’ regions. The development and testing of the Intelligent Support System were done on the example of an experimental disaster region (for some geographical zone of Georgia) which was generated using a simulation modeling. Four objectives are considered in our model. The first objective is to minimize an expectation of total transportation duration of needed products. The second objective is to minimize the total selection unreliability index of opened humanitarian aid distribution centers (HADCs). The third objective minimizes the number of agents needed to operate the opened HADCs. The fourth objective minimizes the non-covered demand for all demand points. Possibility chance constraints and objective constraints were constructed based on objective-subjective data. The FMOELTP was constructed in a static and fuzzy environment since the decisions to be made are taken immediately after the disaster (during few hours) with the information available at that moment. It is assumed that the requests for products are estimated by homeland security organizations, or their experts, based upon their experience and their evaluation of the disaster’s seriousness. Estimated transportation times are considered to take into account routing access difficulty of the region and the infrastructure conditions. We propose an epsilon-constraint method for finding the exact solutions for the problem. It is proved that this approach generates the exact Pareto front of the multi-objective location-transportation problem addressed. Sometimes for large dimensions of the problem, the exact method requires long computing times. Thus, we propose an approximate method that imposes a number of stopping criteria on the exact method. For large dimensions of the FMOELTP the Estimation of Distribution Algorithm’s (EDA) approach is developed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=epsilon-constraint%20method" title="epsilon-constraint method">epsilon-constraint method</a>, <a href="https://publications.waset.org/abstracts/search?q=estimation%20of%20distribution%20algorithm" title=" estimation of distribution algorithm"> estimation of distribution algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20multi-objective%20combinatorial%20programming%20problem" title=" fuzzy multi-objective combinatorial programming problem"> fuzzy multi-objective combinatorial programming problem</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20multi-objective%20emergency%20location%2Ftransportation%20problem" title=" fuzzy multi-objective emergency location/transportation problem"> fuzzy multi-objective emergency location/transportation problem</a> </p> <a href="https://publications.waset.org/abstracts/59595/fuzzy-multi-objective-approach-for-emergency-location-transportation-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59595.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> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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