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On the Weight for Partial Inner Dependence AHP Using Sensitivity Analyses

Authors:
Shin-ichi Ohnishi
Takahiro Yamanoi

Keywords: AHP; fuzzy set; sensitivity analysis

Abstract:
The Analytic Hierarchy Process (AHP) is often employed in a field of decision making, and its inner dependence version is useful for cases in which criteria are not enough independent. In this research, we investigate “partial inner dependence” structure, i.e., only some elements of the criteria (subset) are 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 using the results of 2 kinds of the sensitivity analyses.

Pages: 23 to 25

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-558-6

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017