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

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.