A choquet integral-based GLDS method for green supplier selection with hesitant fuzzy information

Abstract

The green supplier selection can be considered as a multiple criteria decision making (MCDM) problem that contains a set of criteria with inter-dependency. In this study, we propose an improved gained and lost dominance score (GLDS) method to address two important issues in MCDM problems that involve the interaction among criteria and the attitude characteristics of an expert in the hesitant fuzzy environment. Firstly, a novel distance measure of hesitant fuzzy sets (HFSs) is introduced by considering the hesitancy degrees of evaluations with the score function of hesitant fuzzy elements. Then, an improved GLDS method based on the Choquet integral operator is proposed to handle the MCDM problems with interactive criteria within the hesitant fuzzy context. Finally, an illustrative example of green supplier selection is provided to verify the applicability of the proposed method.