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Title

SOLVING MADM PROBLEMS IN INTUTIONISTIC FUZZY ENVIRONMENTS BASED ON COMBINING CHOQUET INTEGRAL AND TOPSIS METHODS

Pages

 Start Page | End Page

Abstract

 IN SOME MULTI ATTRIBUTE DECISION MAKING (MADM) PROBLEMS, TOPSIS AND CHOQUET INTEGRAL (CI) METHODS, ARE USED TO RANK OR CHOOSE THE BEST ALTERNATIVE, INDIVIDUALLY. IN THIS PAPER, TO GAIN THE ADVANTAGES OF THESE METHODS, WE COMBINE THEM AND PROPOSE A NEW HYBRID METHOD FOR AGGREGATION OF INTUITIONISTIC FUZZY-VALUED INFORMATION IN MADM PROBLEMS. FIRST, SOME DEFINITIONS AND PRELIMINARIES ARE DEFINED. THEN, WE’LL DEFINE A NEW METHOD FOR AGGREGATION OF INTUITIONISTIC FUZZY NUMBERS (IFNS) BASED ON TOPSIS AND CI WHICH IS CALLED TOPSIS-CI. IT IS CAUSED TO INTERDEPENDENT OR INTERACTIVE CHARACTERISTICS AMONG THE DECISION MAKER’S PREFERENCE CRITERIA ARE CONSIDERED. FINALLY, THIS METHOD IS ILLUSTRATED BY NUMERICAL EXAMPLE.

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