Open AccessApplication of AHP-TOPSIS Method in Selecting Baseball Pitchers
Author(s) -
A O. Aniebo,
S N. Wekhe,
E S. Erondu,
O J Owen
Publication year - 2022
Publication title -
journal of theory and practice of social science
Language(s) - English
Resource type - Journals
ISSN - 2790-1513
DOI - 10.53469/jtpss.2021.02(01).04
Subject(s) - topsis , analytic hierarchy process , ranking (information retrieval) , multiple criteria decision analysis , selection (genetic algorithm) , ideal solution , computer science , operations research , preference , similarity (geometry) , order (exchange) , engineering , mathematics , artificial intelligence , statistics , business , physics , finance , image (mathematics) , thermodynamics
Selecting starting pitchers is a strategic issue with a significant effect on the performance of a professional team. Choosing optimal starting pitchers from many alternatives is a multi-criteria decision-making (MCDM) problem. This study develops an evaluation model, based on the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), to help managers and coaches of a professional baseball team make the optimal selection for starting pitchers. The AHP was used to analyze the structure of starting-pitcher selection and determines weights of the criteria, whereas the TOPSIS method makes the final ranking. Empirical analysis illustrates model utilization for selecting starting pitchers. The results of this study demonstrate the effectiveness and feasibility of the proposed model.