Combs method used in an intuitionistic fuzzy logic application

被引：0
|
作者：
Ervin, Jon E. [1 ]
Alptekin, Sema E. [2 ]
机构：
[1] Apogee Res Grp, Los Osos, CA 93402 USA
[2] Calif Polytech State Univ San Luis Obispo, San Luis Obispo, CA USA
来源：
APPLICATIONS OF FUZZY SETS THEORY | 2007年 / 4578卷
关键词：
intuitionistic fuzzy logic; particle swarm optimization; combs method;
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 describe the optimization of membership functions in an Intuitionistic Fuzzy Logic application developed in the Matlab software environment. A unique formulation, known as Combs method, is used to control the problem of 'exponential rule expansion' in the rule base. The optimization is performed using a Particle Swarm Optimization (PSO) algorithm to adjust the geometry of trapezoidal membership functions. The technique is tested against the Wisconsin Breast Cancer Database. The use of Combs method shows great promise in significantly expanding the range and complexity of problems that can be addressed using Intuitionistic Fuzzy Logic.
引用
收藏
页码：306 / +
页数：3
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