Rough and Fuzzy Set Based Classification Algorithm on Computer Practice Teaching Evaluation

Abstract:

Computer teaching should emphasize the engineering practicality, creativity, and pay more attention to the project and its application. It is important to evaluate the teaching effect. An evaluation system and corresponding algorithm are presented in this paper. There is a certain correlation between some evaluation factors, and the factors can be divided into key factors and secondary factors by rough set. The evaluation algorithm based on the key factors can reduce redundant factors and improve the efficiency. We designed a clustering algorithm based on fuzzy set on evaluation entities, which can reduce the dada size and improve the accuracy of the algorithm. Through the example analysis the algorithm of factors reduction based on rough set and clustering method based on fuzzy set are described in detail.

• Periodical: Applied Mechanics and Materials (Volume 678)
• Pages: 43-46
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.678.43
• Online since: October 2014
• Authors: Hong Xin Wan, Yun Peng
• Keywords: Factor Reduction, Fuzzy Set, Membership Function, Rough Set

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