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A genetic algorithm approach for solving fuzzy linear and quadratic equations

Mashinchi, M. Hadi and Mashinchi, M. Reza and Shamsuddin, Siti Mariyam (2007) A genetic algorithm approach for solving fuzzy linear and quadratic equations. Proceedings of World Academy of Science, Engineering And Technology, 22 . pp. 242-246. ISSN 1307-6884

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Abstract

Iin this paper a genetic algorithms approach for solving the linear and quadratic fuzzy equations (Ax) over tilde = (B) over tilde and (Ax) over tilde (2) + (Bx) over tilde = (C) over tilde, where (A) over tilde, and (B) over tilde, (C) over tilde and (x) over tilde 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 (x) over tilde (b). in this proposed method the final reached (x) over tilde (b) is not only restricted to fuzzy triangular and it can be fuzzy number.

Item Type:Article
Additional Information:Conference of the World-Academy-of-Science-Engineering-and-Technology Prague, Czech Republic, Jul. 27-29, 2007
Uncontrolled Keywords:fuzzy coefficient, fuzzy equation, genetic algorithms
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Computer Science and Information System (Formerly known)
ID Code:11636
Deposited By: Nor Asmida Abdullah
Deposited On:24 Dec 2010 05:39
Last Modified:24 Dec 2010 05:39

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