A Hybrid Assessment Method for Evaluating the Performance of Starting Pitchers in a Professional Baseball Team

被引：0
|
作者：
Chen, Chih-Cheng [1 ]
Lee, Yung-Tan [1 ]
Tsai, Chung-Ming [1 ]
机构：
[1] Aletheia Univ, Dept Sport Management, New Taipei City 25103, Taiwan
来源：
PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON INFORMATION, BUSINESS AND EDUCATION TECHNOLOGY (ICIBET 2013) | 2013年 / 26卷
关键词：
Starting pitchers; AHP; GRA; Chinese Professional Baseball League; MODEL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The performance assessment of professional baseball starting pitchers is considered a multi-attribute decision-making (MADM) problem. This study develops an evaluation model based on the analytic hierarchy process (AHP) and grey relational analysis (GRA) to evaluate starting pitcher performance for teams of the Chinese Professional Baseball League. The AHP is used to determine attribute weights, whereas the GRA calculates the individual grey relational degree. We conducted an empirical analysis to show the use of the model for addressing the starting pitcher performance problem. The results demonstrate the effectiveness and feasibility of the proposed model.
引用
收藏
页码：73 / 76
页数：4
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