Intuitionistic Fuzzy ELECTRE Method and Experimental Analysis on Contradiction Rates

ISBN: 978-981-08-8407-9

Authors: Ming-Che Wu and Ting-Yu Chen

Abstract:

The purpose of this paper is to extend the ELECTRE method based on intuitionistic fuzzy sets in decision analysis and experimental analysis on the proposed methods’ contradiction rate. We identify different kinds of concordance and discordance sets, e. g. concordance, midrange concordance, weak concordance, discordance, midrange discordance and weak discordance for each ordering at the proposed methods. An experimental analysis of intuitionistic fuzzy ELECTRE methods is conducted with discussions on contradiction rate. The proposed methods’ contradiction rates are lower than other MCDM methods according the simulation results, and they have a decreasing trend with the number of attributes.

Keywords: intuitionistic fuzzy sets; ELECTRE; multiple criteria decision making; experimental analysis; contradiction rate