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Fuzzy Weight Representation for Double Inner Dependence Structure in 4 Levels AHP

Authors:
Shin-ichi Ohnishi
Takahiro Yamanoi

Keywords: AHP; fuzzy sets; sensitivity analysis

Abstract:
The inner dependence Analytic Hierarchy Process (AHP) is useful for the cases in which criteria or/and alternatives are not independent enough and related to modeling and optimization. However, using the original AHP or inner dependence AHP may cause results that cannot have enough reliability because of the inconsistency of the comparison matrix as data. In such cases, fuzzy representation for weighting criteria or/and alternatives using results from sensitivity analysis is useful. In this research, we first define fuzzy local weights of criteria and alternatives. Moreover, via fuzzy sets, overall weights for double inner dependence structure AHP in 4 levels are obtained.

Pages: 70 to 72

Copyright: Copyright (c) IARIA, 2016

Publication date: May 22, 2016

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-478-7

Location: Valencia, Spain

Dates: from May 22, 2016 to May 26, 2016