WASET

	%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 &Atilde;x̃=B̃ and &Atilde;x̃2 + B̃x̃=C̃ , where &Atilde;, 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