Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection.
ABSTRACT Any decision process deals with two different concerns as its cornerstones, evaluating the alternatives and ranking them based on their performances. In any decision process, the former phase is usually the premise of the latter one. Alternatives’ evaluation is the concept that largely depends on the experts and their expertise, which increase uncertainty in the decision-making process. In addition to all proposed methods for having the experts’ knowledge as evaluations of the alternatives, utilizing expert decision support systems (EDSS) can be a sensible response to such a need. Having evaluated the alternatives in the first phase of a decision-making process, the second phase of the process deals with the ranking the alternatives based on their performances obtained from the first phase. In this paper, we discuss the architecture of a fuzzy system including both modules, utilizing fuzzy concept for dealing with the uncertainty of the problem. Concerning the problem we had been dealt with, our system comprises a fuzzy evaluation module, which is a fuzzy expert system and an appropriate tool for evaluating the existing alternatives promptly and smoothly, without the imposed time delays by the experts to propose their comments and the uncertainty of such expertise-based comments, and a fuzzy ranking module, which is a fuzzy version of ELECTRE III method ranking the alternatives based on their outranking relations and by considering the existing uncertainty in their performances. This way the final ranking is resulted from an independent fuzzy system, which has considered the existing uncertainty in the evaluations not once but twice. Our proposed system has been applied to a real case of vendor selection process in one of the greatest and the most famous companies in the Iranian oil industry, OIEC, and the results are discussed.
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ABSTRACT: Multi-criteria group decision making (MCGDM) problems are complex issues often faced by decision makers. In the decision making process, to deal with fuzziness and hesitation, the decision criteria provided by decision makers may take the form of intuitionistic fuzzy numbers. In this paper, we propose an automatic ranking approach for MCGDM under an intuitionistic fuzzy environment. We first propose a new method for the construction of an intuitionistic fuzzy outranking relation to exploit a ranking problem. Then we extend the intuitionistic fuzzy ELECTRE III method to take into account group decision techniques and develop an automatic approach to achieving group opinion satisfaction, which can avoid forcing the decision makers to modify their decision matrices. Finally, a numerical example for supplier evaluation is provided to elucidate the details of the proposed method.Fuzzy Optimization and Decision Making 01/2015; · 1.00 Impact Factor
Conference Paper: A NEW FUZZY ELECTRE APPROACH WITH AN ALTERNATIVE FUZZY RANKING METHODComputational Intelligence - Foundations and Applications - 9th International FLINS Conference; 01/2010
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ABSTRACT: Organizations try to outsource their activities as much as possible in order to prevent the problems and use organizational capabilities in Information Technology (IT) field. The purpose of this paper was first, to express the effective criteria for selecting suppliers of IT services, second, to explain the advantages and disadvantages of outsourcing IT in hospitals. This study was narrative review, which search was conducted with the help of libraries, books, conference proceedings, and databases of Science Direct, PubMed, Proquest, Springer, and SID (Scientific Information Database). In our searches, we employed the following keywords and their combinations: Outsourcing, information technology, hospital, decision making, and criteria. The preliminary search resulted in 120 articles, which were published between 2000 and 2013 during July 2013. After a careful analysis of the content of each paper, a total of 46 papers were selected based on their relevancy. The criteria and sub-criteria influencing outsourcing decisions in Iranian hospitals were identified in six major categories including administrative issues, issues related to the service/product, technology factors, environmental factors, risks, and economic factors associated with 15 sub-criteria containing business integration, dependence on suppliers, human resources, focus on core competencies, facilities and physical capital, innovation, quality, speed of service delivery, flexibility, market capabilities, geographical location, security, management control, cost, and financial capability. Identify the advantages and disadvantages of outsourcing and effective criteria in IT services supplier selection causes the managers be able to take the most appropriate decision to select supplier of IT services. This is a general review on influencing criteria for electing of supplier of information technology services in hospitals.International Journal of Health Promotion and Education 01/2014; 3:108.