A DISSCUSSION ON THE OVERLAPPING IN FUZZY PRODUCTION RULE REASONING
When the Fuzzy Production Rules (FPRs) are used for knowledge representation in rule-based system, overlapping exists among these rule sets corresponding to different classes.Each of the rule sets is composed of the rules which have the same consequence. In order to model and handle this kind of overlapping, this paper proposes a nonnegative non-additive set function and provides a new algorithm with respect to the new set function for rule-based system based on possibility measure and necessity measure, instead of assigning maximum similarity measure of sets of FPRs as the reasoning result.Experimental results on a number of selected databases show that handling overlapping in FPRs in this way can improve the reasoning accuracy and strengthen the reasoning capability of rule-based system.
Approximate reasoning Fuzzy Production Rules Possibility measure Necessity measure Overlapping
XI-ZHAO WANG FENG YANG YAN LI
Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
4557-4562
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）