Similarity-based approximate reasoning: Methodology and application

被引:39
|
作者
Raha, S [1 ]
Pal, NR
Ray, KS
机构
[1] Dept Math, Santini Ketan 731235, W Bengal, India
[2] Indian Stat Inst, Elect & Commun Sci Unit, Kolkata, W Bengal, India
关键词
approximate reasoning; fuzzy set; pattern classifier; similarity index;
D O I
10.1109/TSMCA.2002.804787
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This correspondence elucidates the importance of similarity, as modeled by a measure of similarity, in approximate reasoning. A set of axioms is proposed to compute a reasonable measure of similarity between two imprecise concepts represented as fuzzy sets. For approximate reasoning, a similarity index between the fact and the antecedent of a rule is computed and is used in the reasoning mechanism. Accordingly, the existing reasoning mechanism is modified. A new similarity-based approximate reasoning methodology is proposed. As an illustration of its effectiveness, the proposed mechanism is used to develop-a rule-based pattern classifier.
引用
收藏
页码:541 / 547
页数:7
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