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

Full text not available from this repository.

## 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 |
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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 |

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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