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Abstract and Applied Analysis
Volume 2014, Article ID 971648, 7 pages
Research Article

Identifying the Best Coach by an Improved AHP Model

1School of Physical Education, Northeast Normal University, Changchun 130024, China
2Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian 116024, China
3Department of Electronics & Information Engineering, Dalian University of Technology, Dalian 116024, China

Received 14 April 2014; Revised 7 June 2014; Accepted 7 June 2014; Published 17 July 2014

Academic Editor: Fuding Xie

Copyright © 2014 Jinming Xing et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The evaluation of coaches in college ball game is very essential, since a better choice of coaches will help get more scores for a team. In this paper, a simple, however, comprehensive model is proposed to evaluate college coaches of a century. By comparing the compressive index of different coaches in the evaluation, the top five coaches are found with their influence over time discussed either. Based on data of certain sport, a basic model is introduced. The superimposed application of the model makes it possible for the data of different levels to deliver proper evaluation. And by optimizing the data, we can provide precise evaluation items and authentic synthetic scores for each coach. Among their applications, the models of various sports are obtained in which relatively accurate results are still available. Although a number of deficiencies were disclosed by multiple expansions, this model is still simple, accurate, and valuable to select the best coaches.