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
收藏
页码：160 / 165
页数：6
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