This paper deals with the multiple experts multiple criteria decision making (MEMCDM) problem. To help experts in a committee in reaching a satisfactory decision outcome, a three phase decision making method is deve...This paper deals with the multiple experts multiple criteria decision making (MEMCDM) problem. To help experts in a committee in reaching a satisfactory decision outcome, a three phase decision making method is developed in this study. We describe the procedure of the proposed three phase method and its application in a case study. Three phases—the initial comparison test, criteria aggregation, and experts’ aggregation, are concerned with fuzzy evaluation of the multiple criteria, which is based on fuzzy preference ordering and membership functions of the fuzzy set theory. The algorithms are presented thoroughly for each phase of overall procedure of MEMCDM. The three phase method combines the Delphi interactive method and the evaluation of minimal separation measure from the ideal solution. Finally worthwhile directions for future research are summarized.展开更多
文摘This paper deals with the multiple experts multiple criteria decision making (MEMCDM) problem. To help experts in a committee in reaching a satisfactory decision outcome, a three phase decision making method is developed in this study. We describe the procedure of the proposed three phase method and its application in a case study. Three phases—the initial comparison test, criteria aggregation, and experts’ aggregation, are concerned with fuzzy evaluation of the multiple criteria, which is based on fuzzy preference ordering and membership functions of the fuzzy set theory. The algorithms are presented thoroughly for each phase of overall procedure of MEMCDM. The three phase method combines the Delphi interactive method and the evaluation of minimal separation measure from the ideal solution. Finally worthwhile directions for future research are summarized.
