Affiliations: [a] School of Science, Hunan University of Technology, Zhuzhou, China
| [b] School of Business, Hunan University of Technology, Zhuzhou, China
Correspondence:
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Corresponding author. Xinfan Wang, School of Science, Hunan University of Technology, Zhuzhou 412007, China. E-mail: zzwxfydm@126.com.
Abstract: This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.
