Evaluation Model for Baseball Players of National Team-Application of Fuzzy Multiple Criteria Decision Making

Abstract

The performance of professional baseball players infects personal wages and the value of the game. Players are under pressure from fans and sponsors. It is important to develop an evaluation model that examines player performance using scientific methods. Since the evaluation is complicated and uses multiple criteria, this study applies multi-criteria decision making to create a hierarchical model to understand the relevance of the variables. Utilizing fuzzy analytic hierarchy process (FAHP), we classify the characteristics of the performance evaluation index and study its attributes to determine their weights. Our conclusions are as follows. The most important criteria for catchers is defense, cooperation, ability to hit, psychological strength, and pitch choice. Finally, an analysis of the data from the 17^th program of The Chinese Professional Baseball League with techniques for order preference by similarity to ideal solution, we have found that the results from performance analysis on the best catcher is different from the results of a journalist poll.