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

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2002年 / 32卷 / 04期

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

页码：541 / 547

页数：7

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