A Genetic Algorithm Approach for Solving Fuzzy Linear and Quadratic Equations

被引：0
|
作者：
Mashinchi, M. Hadi [1 ]
Mashinchi, M. Reza [1 ]
Shamsuddin, Siti Mariyam H. J. [1 ]
机构：
[1] Univ Teknol Malaysia, Fac Comp Sci & Informat Syst, Dept Multimedia & Comp Graph, Johor Baharu, Malaysia
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 22 | 2007年 / 22卷
关键词：
Fuzzy coefficient; fuzzy equation; genetic algorithms;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Iin this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations (Ax) over tilde = (B) over tilde and (Ax) over tilde (2) + (Bx) over tilde = (C) over tilde, where (A) over tilde, and (B) over tilde, (C) over tilde and (x) over tilde are fuzzy numbers is proposed by genetic algorithms. Our genetic based method initially starts with a set of random fuzzy solutions. Then in each generation of genetic algorithms, the solution candidates converge more to better fuzzy solution (x) over tilde (b). in this proposed method the final reached (x) over tilde (b) is not only restricted to fuzzy triangular and it can be fuzzy number.
引用
收藏
页码：242 / 246
页数：5
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