Selecting the Best Hitter in a Professional Baseball League Using the Technique for Order of Preference by Similarity to Ideal Solution-Selecting Best Hitter in Pro-Baseball League

DOI

10.2991/amsm-16.2016.80How to use a DOI?

Keywords

hitter; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS); Chinese Professional Baseball League; plate appearances (PAs); on-base percentage (OBP); slugging percentage (SLG)

Abstract

Selecting the best hitter in a professional baseball league is considered a multi-attribute decision-making problem. We developed an evaluation model based on literature review and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the best hitter in the Chinese Professional Baseball League. We determined attribute weights and used the TOPSIS to calculate the individual performance ranking. We conducted an empirical analysis to demonstrate the applicability of the proposed model for addressing the problem associated with hitter performance. The results demonstrate the effectiveness and feasibility of the proposed model.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chih-Cheng Chen
AU  - Yen-Whea Kuo
AU  - Chih-Jen Chuang
AU  - Chun-Hsiao Chu
AU  - Tian-Shaing Kuo
AU  - Kuang-Tsan Hung
PY  - 2016/05
DA  - 2016/05
TI  - Selecting the Best Hitter in a Professional Baseball League Using the Technique for Order of Preference by Similarity to Ideal Solution-Selecting Best Hitter in Pro-Baseball League
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 359
EP  - 361
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.80
DO  - 10.2991/amsm-16.2016.80
ID  - Chen2016/05
ER  -