Starting Pitcher Rotation in the Chinese Professional Baseball League based on AHP and TOPSIS
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.
[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.
[8] http://www.cpbl.com.tw/
[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.
[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.
[8] http://www.cpbl.com.tw/
[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.
@article{"International Journal of Business, Human and Social Sciences:61153", author = "Chih-Cheng Chen and Meng-Lung Lin and Yung-Tan Lee and Tien-Tze Chen", title = "Starting Pitcher Rotation in the Chinese Professional Baseball League based on AHP and TOPSIS", abstract = "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", volume = "5", number = "10", pages = "1280-6", }