The Best Coach Evaluation Based on CW-TOPSIS

DOI

10.2991/wartia-16.2016.119How to use a DOI?

Keywords

best coach, evaluation, Composite Weight, TOPSIS, AHP, entropy

Abstract

We analyze the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS). We build an old model based on the combination of them, which is named AHP-TOPSIS. The old model is built as: First, use the AHP to determine the weight of each factor on the coach’s evaluation. Then, use TOPSIS to rank the coaches. After analyzing the result of the old model, we draw a conclusion that the weight vector calculated by AHP is subjective. Therefore, we decide to find a more objective method.Next, we build a totally new evaluation method based on the Entropy and AHP, which is named Composite Weight-TOPSIS (CWTOPSIS). The AHP is a representative of calculating subjective weight, which ignores the ob-jective factors. The Entropy is a representative of calculating objective weight. It depends on objec-tive numerical indicators, but ignores the relevant experts experience and subjective judgment. So we introduced the preference factor to combine them together. We compare the results of the two models, and we can see the improved one has more advantages. Then, we take other factors into consideration: time the coach coaches and gender of the coach. We analyze them separately, and draw the conclusion that the time factor does affect the evaluation result and the gender factor has little influence on the final result.

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  - XuDong Yang
PY  - 2016/05
DA  - 2016/05
TI  - The Best Coach Evaluation Based on CW-TOPSIS
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 581
EP  - 584
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.119
DO  - 10.2991/wartia-16.2016.119
ID  - Yang2016/05
ER  -