Open Science Research Excellence
%0 Journal Article
%A M. Hadi Mashinchi and  M. Reza Mashinchi and  Siti Mariyam H. J. Shamsuddin
%D 2007 
%J  International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 4, 2007
%T A Genetic Algorithm Approach for Solving Fuzzy Linear and Quadratic Equations 
%U http://waset.org/publications/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