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Starting Pitcher Rotation in the Chinese Professional Baseball League based on AHP and TOPSIS

Authors: Chih-Cheng Chen, Meng-Lung Lin, Yung-Tan Lee, Tien-Tze Chen


The rotation of starting pitchers is a strategic issue which has a significant impact on the performance of a professional team. Choosing an optimal starting pitcher from among many alternatives is a multi-criteria decision-making (MCDM) problem. In this study, a model using the Analytic Hierarchy Process (AHP) and Technique for Order Performance by Similarity to the Ideal Solution (TOPSIS) is proposed with which to arrange the starting pitcher rotation for teams of the Chinese Professional Baseball League. The AHP is used to analyze the structure of the starting pitcher selection problem and to determine the weights of the criteria, while the TOPSIS method is used to make the final ranking. An empirical analysis is conducted to illustrate the utilization of the model for the starting pitcher rotation problem. The results demonstrate the effectiveness and feasibility of the proposed model.

Keywords: AHP, TOPSIS, starting pitcher rotation, CPBL

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[1] C.C. Chen, and T.T. Chen, "Starting Pitchers' Pitch Skills Positioning of CPBL in 2008-Multidimentional Scaling Analysis", Journal of Physical Education Fu Jen Catholic University, vol. 8, pp. 109-125, 2009.
[2] E.D. Gould, and E. Winter, "Interactions between Workers and the Technology of Production: Evidence from Professional Baseball", The Review of Economics and Statistics, vol. 91, pp. 188-200, 2009.
[3] L.D. Singell, "Managers, specific human capital, and firm productivity in major league baseball", Atlantic Economic Journal, vol. 21, pp. 47-59, 1993.
[4] C.C. Chen, M.L. Lin, Y.T. Lee, T.T. Chen, and C.Y. Tseng, "Best Starting Pitcher of the Chinese Professional Baseball League in 2009", World Academy of Science, Engineering and Technology, vol. 72, pp. 210-212, 2010.
[5] M. Lewis, Moneyball: The Art of Winning an Unfair Game. New York: Norton, 2003
[6] R.L. Sparks, and D.L. Abrahamson, "A Mathematical Model to Predict Award Winners", Math Horizons, vol. April, pp. 5-13, 2005.
[7] A.D. Morris, "Baseball, History, the Local and Global in Taiwan", in The minor arts of daily life: popular culture in Taiwan, Jordan, D.K., and Moskowitz, M.L. Hawaii: University of Hawaii, 2004, pp. 175-203.
[9] H.S. Shih, H.J. Shyur, and E.S. Lee, "An extension of TOPSIS for group decision making", Mathematical and Computer Modeling, vol. 45, pp. 801-813, 2007.
[10] R.S. Guo, D.M. Chiang, and F.Y. Pai, "Multi-objective exception management model for semiconductor back-end environment under turnkey service", Production Planning & Control, vol. 18, pp. 203-216, 2007.
[11] S. Sipahi, and M. Timor, "The analytic hierarchy process and analytic network process: an overview of applications", Management Decision, vol. 48, pp. 775-808, 2010.
[12] S.S. Zilla, "Ranking of Sports Teams via the AHP", The Journal of the Operational Research Society, vol. 39, pp. 661-667, 1988.
[13] H.S. Shih, "Incremental analysis for MCDM with an application to group TOPSIS", European Journal of Operation Research, vol. 186, pp. 720-734, 2008.
[14] D.L. Olson, "Comparison of Weights in TOPSIS Models", Mathematical and Computer Modelling, vol. 40, pp. 721-727., 2004
[15] G. Torlaka, M. Sevklib, M. Sanala, and S. Zaim, "Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry", Expert Systems with Applications, vol. 38, pp. 3396-3406 2011.
[16] E.K. Aydogan, "Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment", Expert Systems with Applications, vol. 38, pp. 3992-3998, 2011.