%0 Journal Article %A M. Hadi Mashinchi and M. Reza Mashinchi and Siti Mariyam H. J. Shamsuddin %D 2007 %J International Journal of Mathematical and Computational Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 4, 2007 %T A Genetic Algorithm Approach for Solving Fuzzy Linear and Quadratic Equations %U https://publications.waset.org/pdf/11254 %V 4 %X In this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations Ãx̃=B̃ and Ãx̃2 + B̃x̃=C̃ , where Ã, B̃, C̃ and x̃ 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 x̃b . In this proposed method the final reached x̃b is not only restricted to fuzzy triangular and it can be fuzzy number. %P 215 - 219