A Genetic Algorithm Approach for Solving Fuzzy Linear and Quadratic Equations
نویسندگان
چکیده
In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations B x A ~ ~ ~ = and C x B x A ~ ~ ~ ~ ~ 2 = + , where A~ , B~ , C~ and x ~ 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 b x ~ . In this proposed method the final reached b x ~ is not only restricted to fuzzy triangular and it can be fuzzy number. Keywords—Fuzzy coefficient, fuzzy equation, genetic algorithms.
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