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

机译:基于粗糙和模糊集基于计算机练习教学评估的分类算法

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摘要

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.
机译:计算机教学应强调工程实用性,创造力,并更加关注项目及其应用。评估教学效果非常重要。本文提出了评估系统和相应的算法。一些评估因素之间存在一定的相关性,并且可以通过粗糙集分为关键因素和次要因素。基于关键因素的评估算法可以减少冗余因素并提高效率。我们设计了一种基于模糊集的聚类算法,在评估实体上,可以降低DADA尺寸并提高算法的准确性。通过示例性分析,详细描述了基于模糊集的粗糙集和聚类方法的因素降低算法。

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