Applying Genetic Algorithms to Solve Some Fuzzy Equations

Abstract

This study investigated a genetic approach to solve some fuzzy equations for optimization problems. We argue that the classical methods of solving fuzzy equations are too restrictive and that an alternative of the solution concept is possibly needed. By applying genetic algorithms to solve fuzzy equations, the use of membership functions for fuzzy numbers is no longer needed. We give some illustrative numerical examples to demonstrate both feasibility and efficiency of the proposed genetic algorithms while solving fuzzy equations