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基于粗糙模糊度属性约简的教学质量评价
引用本文:李萍,程向阳,吴涛.基于粗糙模糊度属性约简的教学质量评价[J].大学数学,2014(1):24-27.
作者姓名:李萍  程向阳  吴涛
作者单位:[1]阜阳师范学院信息工程学院,阜阳236041 [2]安徽大学数学科学学院,合肥230039
基金项目:安徽省2010年高校省级教学质量与教学改革工程重点项目--基于马氏链模型的教学发展性评价(20101984);半监督学习的覆盖网络(2012FSKJ11);基于粗糙模糊度属性约简的教学质量评价(阜阳师范学院校级课题)
摘    要:教师教学质量评价对提高教学质量具有积极意义和重要作用.教师教学质量评价指标的科学性及合理性是对教师的教学质量进行客观公正评价的重要前提,本文利用粗糙模糊度属性约简方法对教师教学评价指标进行分析、约简.所得结果对教师提高教学水平和教学质量,简化教学测评具有一定的指导意义.

关 键 词:粗糙集  属性约简  粗糙模糊度

Evaluation of the Quality of Teaching Based on Rough Fuzzy Degree Attribute Reduction Algorithm
LI Ping,CHENG Xiang-yang,WU Tao.Evaluation of the Quality of Teaching Based on Rough Fuzzy Degree Attribute Reduction Algorithm[J].College Mathematics,2014(1):24-27.
Authors:LI Ping  CHENG Xiang-yang  WU Tao
Institution:1. College of Information Engineering, Fuyang Teachers' College, Fuyang 236041, China 2. School of Mathematical Sciences, Anhui University, Hefei 230039, China)
Abstract:Evaluation of the teachers~ teaching quality is actively significant and weightily contributing to improve teaching quality. The index's scientific nature and rationality are important preconditions to evaluate teachers' teaching quality impersonally and equitably. Rough degree attribute reduction is applied to analyze and predigest the index of teaching quality evaluation. The results are significant for teachers to improve the teaching level and quality, and the proposed method is important to simplify the teaching evaluation.
Keywords:rough set~ attribute reduction~ rough fuzzy metrics
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