Fuzzy Comprehension Evaluation of Sunny Sports Activity Using Entropy Weight

Article Preview

Abstract:

By proceeding from practice of the sunny sport activity in higher education institutes, the principles of selecting evaluation index of the campaign have been put forward. Base on the No.17 document of the central committee and related principles, the paper establishes the evaluation index system of the activity. Considering the difficulty of fuzzy synthetic evaluation method in calculation of the multiple factors and ignorance of the relationship among evaluating objects, a new weight evaluation process using entropy method is introduced. This improved method for determination of weight of the evaluating indicators is applied in synthetic evaluation of the sunny sport activity. Compared with the original evaluation method, the method predigests the fuzzy synthetic evaluation process greatly and the evaluation results are more reasonable.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

908-910

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] D.L. Dong, B. Ji, Y.P. Yu and D.P. Dong, Factors Related to Improving Teaching of Sport Normal Students in China, IERI Procedia, vol. 2, pp.171-175, (2012).

DOI: 10.1016/j.ieri.2012.06.070

Google Scholar

[2] R.R. Feng, Z.F. Peng and A.H. Fan, A An Exploratory Study on the Curricula Constructions of Sports Major Free Normal Students in China, IERI Procedia, vol. 2, pp.188-193, (2012).

DOI: 10.1016/j.ieri.2012.06.073

Google Scholar

[3] J. Ye, Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets, Applied Mathematical Modelling, vol. 34, pp.3864-3870, (2010).

DOI: 10.1016/j.apm.2010.03.025

Google Scholar

[4] Z.H. Zou, Y. Yun and J.N. Sun, Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment, Journal of Environmental Sciences, vol. 18, pp.1020-1023, (2006).

DOI: 10.1016/s1001-0742(06)60032-6

Google Scholar

[5] T.Y. Chen and C.H. Li, Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis, Information Sciences, vol. 180, pp.4207-4222, (2010).

DOI: 10.1016/j.ins.2010.07.009

Google Scholar