A new weight representation using fuzzy set for partial inner dependence AHP


Ohnishi S., YAMANOİ T.

2016 International Conference on Fuzzy Theory and Its Applications, iFuzzy 2016, T'ai-chung, Taiwan, 9 - 11 November 2016, (Full Text) identifier

Qısa məlumat

The Inner dependence Analytic Hierarchy Process (AHP) is useful for cases in which criteria are not independent enough in a field of decision making. In this research, we investigate 'partial inner dependence' structure, i.e., only a proper subset of the criteria is not independent. For the partial inner dependence AHP, we propose a new kind of fuzzy weight representation that is valid even if a data matrix is not consistent or reliable enough. The representation can be defined by 2 kinds of results of sensitivity analyses.