A Weights Representation for Fuzzy Constraint-based AHP

Shin-ichi OHNISHI, Takahiro YAMANOI, Hideyuki IMAI.

Analytic Hierarchy Process (AHP) is very popular method in the field of decision-making today. While one of the most natural extensions of AHP using fuzzy theory is to employ a reciprocal matrix with fuzzy-valued entries, some of the present authors proposed the fuzzy constraint-based approach before. In this paper, we consider about weights for fuzzy constraint-based approach and propose a kind of representation for the weights. It employs not only fuzzy concept but also results of sensitivity analysis. Moreover it is also very useful for investigating data structure and realizing results of AHP.

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