An extended intuitionistic fuzzy modified group complex proportional assessment approach

Document Type : Research Paper


Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran


Complex proportional assessment (COPRAS) methodology is one of the well-known multiple criteria group decision-making (MCGDM) frameworks that can focus on proportional and direct dependences of the significance and utility degree of candidates under the presence of mutually conflicting criteria in real-worldcases. This studyelaboratesa newintuitionistic fuzzy modified group complex proportional assessment (IF-MGCOPRAS) method.This group decision-making methodologymakes the suitable decision by considering both concepts of the intuitionistic fuzzy positive ideal and negative ideal solutions.The performance of the candidates with respect to various criteria and corresponding criteria weights are linguistic termsthat expressed as intuitionistic fuzzy numbers. Then,intuitionistic fuzzy weighted averaging (IFWA) relation is employed to aggregate individual opinions of experts.Furthermore, a new intuitionistic modified relativeindex is manipulatedto specify the most appropriate candidate for a particular engineering application in a manufacturing industry.In this respect, an illustrative example for group decision making in an equipment selection problem is considered to demonstrate theprocedure ofproposed complex assessment method. The obtainedresults of IF-MGCOPRAS method represented that a reasonable and satisfactory assessmentfor equipment decision makingproblem is occurred. Finally, a comparative analysis and discussion with the intuitionistic fuzzy group TOPSIS method is provided.


Main Subjects

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