抄録
Analytic Hierarchy Process (AHP) is
very popular method in the field of decisionmaking
today. The classical method requires the
decision-maker (DM) to express his or her
preferences in the form of a precise ratio matrix
encoding a valued preference relation. However, it
can often be difficult for the DM to express exact
estimates of the ratios of importance. One of the
most natural ways to cope with this kind of
problem is employing a reciprocal matrix with
fuzzy-valued entries. Then some of the present
authors proposed the fuzzy constraint-based
approach before. This allows for a more flexible
specification of pairwise preference intensities
accounting for the incomplete knowledge of the
DM. In this paper, we consider about weights for
the fuzzy constraint-based approach and propose
an extension of representation for the weights. It
employs not only fuzzy concepts but also results of
sensitivity analysis for weights and consistency.
Moreover it is very useful for investigating data
structure and realizing results of AHP.
