Statistical Comparison of Type-1 and Type-2 Fuzzy Systems design with Genetic Algorithms in the Case of Three Tank Water Control

被引：0
作者：
Cervantes, Leticia [1 ]
Castillo, Oscar [1 ]
机构：
[1] Tijuana Inst Technol, Tijuana, Mexico
来源：
PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS) | 2013年
关键词：
Granular computing; Genetic ALgorithm; Type-2 Fuzzy System; Fuzzy Control; SIMULATION; LOGIC;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we show a statistical comparison using fuzzy systems for the benchmark case of three tank water level control. In this statistical comparison an empirical type-1 fuzzy system is applied and a type-1 fuzzy system with genetic algorithm is also used. After that a type-2 fuzzy system is used to achieve the control and a genetic algorithm is used to optimize this type-2 fuzzy system. These results are used to make a statistical comparison with the purpose to show the difference when type-1 and type-2 fuzzy systems are used with genetic algorithm or without optimization.
引用
收藏
页码：1056 / 1061
页数：6
相关论文
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