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
- https://doi.org/10.2991/amsm-16.2016.80How to use a DOI?
- 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)
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/amsm-16.2016.80 ID - Chen2016/05 ER -