Abstract

This chapter aims to deliver a new multiple-criteria decision making model, namely, the bipolar fuzzy ELECTRE II method, by combining the traits of bipolar fuzzy sets with the ELECTRE II technique. The proposed approach can successfully address the imprecision of bipolar fuzzy information. This method examines the strong and weak outranking relations between alternatives using bipolar fuzzy strong, median, and weak concordance as well as discordance sets and an indifferent set. Further, an optimization technique, based on the maximizing deviation, is applied to evaluate the criteria weights.

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