摘要
为了克服用线性模型对教学质量进行评价存在的不足,提出一种基于粗集理论的智能专家系统作为教学质量评价的模型。利用Salvatore Greco等提出的补齐算法,可以将知识表达系统中缺失的数据进行补齐。实例数据表明,该模型在保持教学质量评价模糊性的同时,能对教学质量做出比较一致的评价。
In order to overcome the shortcomings of the teaching quality estimate by the linear model an intelligent expert system based on the rough sets is presented to be the estimate model of the teaching quality. The missing values in the knowledge representation system can be completed by the algorithm by Salvatore Greco. The results show that the intelligent expert system can estimate the teaching quality hazily and congruously.
出处
《成都信息工程学院学报》
2008年第3期261-264,共4页
Journal of Chengdu University of Information Technology
基金
四川省教育厅青年基金资助项目(2005B043)
内江师范学院青年基金资助项目(07NJZ-08)
关键词
粗集
知识表达系统
质量评价模型
rough sets
knowledge representation system
estimate model of teaching quality
