PROCEEDINGS IPMU '08
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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