A new aspect for the optimization of fuzzy if-then rules

被引：9

作者：

Moraga, C ^{[1
]}

Salas, R ^{[1
]}

机构：

[1] Univ Dortmund, Dept Comp Sci, D-44221 Dortmund, Germany

来源：

35TH INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC, PROCEEDINGS | 2005年

关键词：

fuzzy if-then rules; order automorphisms; evolutionary algorithms;

D O I：

10.1109/ISMVL.2005.3

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Evolutionary optimization of fuzzy if-then rules for approximation is an area of research that has received much attention in the last years. The present paper adds a new possibility by proposing a method for data-driven reshaping or designing the uncertainty transitions of piecewise linear fuzzy sets representing the linguistic terms of the fuzzy rules.

引用

页码：160 / 165

页数：6

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