A hesitant fuzzy multi-criteria group decision making method for college applicants’ learning potential evaluation

Abstract

The evaluation of applicants' learning potential is important to college admission process. This paper develops a multi-criteria decision making method for a comprehensive evaluation of high school graduates' learning potential in college, in which both entrance examination marks and expert remarks are considered in the indicator system. Experts' opinions towards indicator importance are expressed by hesitant fuzzy numbers. By using hesitant fuzzy linguistic judgments, the flexibility of expressions is increased. A minimized divergence and hesitant degree model is established to calculate the experts' weights. Then to determine indicators' weights, a weighted average operator is applied. To aggregate the final evaluation results, a TOPSIS method is adopted. The proposed methodology is applied to evaluate students' learning potential in one of the top universities in China. Ten years' real enrollment data is collected in Business and Economic School. Based on the evaluation results, some suggestions are given for the admission process.

An inconsistency index of interval additive reciprocal matrices with application to group decision making

“…On the other hand, it is always considered that the wisdom of a group of experts is superior to any individual in public policies, political forecasting, and other organizational tasks. A great number of group decision making methods have been developed under the considerations of various theories and uncertain environments (Lu et al 2007;Dong and Xu 2016;Zhang et al 2013Zhang et al , 2016Xia and Chen 2015;Chen and Zhou 2012;Li et al 2019). An important phase in group decision making is the aggregation of individual preference relations (Chiclana et al 1998;Herrera et al 2001;Zhou and Chen 2011;Rademaker and De Baets 2011;Chen et al 2015).…”