Decision rule extraction method based on rough set theory and fuzzy set theory

被引:0
作者
Wang, MC [1 ]
Wang, ZO [1 ]
Zhang, M [1 ]
Yan, P [1 ]
机构
[1] Tianjin Univ, Inst Syst Engn, Tianjin 300072, Peoples R China
来源
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词
rough set; fuzzy set; rule extraction; decision table;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A quantitative decision table can be transformed into a qualitative decision one by using the fuzzy set theory. This paper develops the definition of membership function mentioned in the literature 161, and proposes transforming rules from the quantitative decision table to the qualitative decision table with the properties of membership function. The rules can change an n-dimension quantitative decision table into an n-dimension qualitative decision table instead of a 3n-dimention one. So it greatly decreases afterward computing complexity of rule extraction using rough set theory, while increases the quality of extracted rules.
引用
收藏
页码:2212 / 2216
页数:5
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