Data Processing and Information Technology with an Iterative Correction Evaluation Model

Abstract:

In our paper, we used data processing and information technology to build an iterative correction evaluation model.First,we collect the data of college coaches of football, basketball and hockey. Based on the two characteristic indexes of college coaches, such as the basic quality and the competition results, we discuss the characteristic indexes of excellent college coaches and set up two basic models: the one is fuzzy comprehensive evaluation model established by simplified DHFG algorithm and the other is Self-evaluation DEA model built on the hierarchy structure of the evaluation indexes and incompleteness of weight set. Then, the ranking lists can be obtained respectively. After that, we use four combined evaluation methods, such as average value method, Boarda method, Compeland method and fuzzy Boarda method, to combine the results of two basic models above. We establish the iterative correction model and Spearman test is applied until the results satisfy the homogeneity test. Thus, the more accuracy results are gained and the top 5 coaches are picked out more correctly.

• Periodical: Advanced Materials Research (Volume 978)
• Pages: 201-204
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.978.201
• Online since: June 2014
• Authors: Wei Gu*
• Keywords: DHFG Algorithm, Fuzzy Comprehensive Evaluation, Iterative Correction Model, Self-Evaluation DEA Model, Weight Set

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