Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited

被引：0
|
作者：
Claudio Moraga
Enric Trillas
Sergio Guadarrama
机构：
[1] Universidad Politécnica de Madrid,Departamento de Inteligencia Artificial
[2] Campus de Montegancedo,undefined
来源：
Artificial Intelligence Review | 2003年 / 20卷
关键词：
approximate reasoning; fuzzy control; fuzzy if-then rules;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper reviews one particular area of Artificial Intelligence, which roots may be traced back to Multiple-valued Logic: the area of fuzzy control. After an introduction based on an experimental scenario, basic cases of fuzzy control are presented and formally analyzed. Their capabilities are discussed and their constraints are explained. Finally it is shown that a parameterization of either the fuzzy sets or the connectives used to express the rules governing a fuzzy controller allows the use of new optimization methods to improve the overall performance.
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页码：169 / 197
页数：28
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