Intuitionistic fuzzy two-sided matching model and its application to personnel-position matching problems

Abstract

Personnel-position matching (PPM) problems have gained wide attention from scholars in the past decades. However, the traditional matching methodologies cannot be used to solve the two-sided matching problem between personnel and position effectively. In this article, we design an intuitionistic fuzzy two-sided matching model for the PPM problem. In order to describe the correlations between the evaluated attributes, some novel intuitionistic fuzzy Choquet integral aggregation operators are proposed. The final optimal matching results can be obtained by solving the multiobjective decision-making model. A case about the PPM problem is presented to illustrate the practicality of this method. The results of this article indicate that the intuitionistic fuzzy Choquet integral aggregation operators-based two-sided matching model can effectively solve the PPM problems where their evaluated attributes are correlated.