Restoring consistency in systems of fuzzy gradual rules using similarity relations

被引:0
作者
Drummond, I [1 ]
Godo, L
Sandri, S
机构
[1] INPE, LAC, BR-12201970 Sao Jose Dos Campos, Brazil
[2] CSIC, IIIA, Bellaterra 08193, Spain
来源
ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2002年 / 2507卷
关键词
fuzzy rule-based systems; gradual rules; inconsistency; similarity;
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
We present here a method that uses similarity relations to restore consistency in fuzzy gradual rules systems: we propose to transform potentially inconsistent rules by making their consequents more imprecise. Using a suitable similarity relation we obtain consistent rules with a minimum of extra imprecision. We also present an application to illustrate the approach.
引用
收藏
页码:386 / 396
页数:11
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