An efficient approach to solving fuzzy MADM problems

Abstract An approach using defuzzifying methods is proposed for the fuzzy multiple attribute decision-making (MADM) problem. The computational effectiveness and efficiency of six defuzzifying methods combined with the simple additive weighting (SAW) method are evaluated based on a comparison to the improved fuzzy weighted average (IFWA) followed by four fuzzy ranking methods. Numerical examples are discussed to demonstrate the implementation and effectiveness of the methods.

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