A NEW METHOD FOR HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS USING FN-IOWA OPERATORS

Shyi‐Ming Chen

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Multi-Criteria Decision Making Fuzzy and Soft Set Theory Fuzzy Systems and Optimization

Abstract

We use fuzzy numbers to extend the traditional induced ordered weight averaging (IOWA) operator to present the fuzzy-number IOWA (FN-IOWA) operator, wherein fuzzy numbers are used to describe the argument values and the weights of the FN-IOWA operator, and the aggregation results are obtained by using fuzzy-number arithmetic operations. We also present a new method for ranking fuzzy numbers. Based on the proposed FN-IOWA operator and the proposed ranking method of fuzzy numbers, we present a new algorithm to deal with multicriteria fuzzy decision-making problems. The proposed algorithm can deal with multicriteria fuzzy decision-making problems in a more intelligent and more flexible manner.

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References

1965Fuzzy sets 1996Fuzzy sets 1981Multiple Attribute Decision Making: Methods and Applications 1988On ordered weighted averaging aggregation operators in multicriteria decisionmaking 1992Fuzzy Multiple Attribute Decision Making 1999Induced ordered weighted averaging operators 1998A new approach for ranking fuzzy numbers by distance method 1986Fuzzy Mathematical Techniques With Applications

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