A Genetic Algorithm Approach for Solving Fuzzy Linear and Quadratic Equations
| Main Authors: | M. Hadi Mashinchi, M. Reza Mashinchi, Siti Mariyam H. J. Shamsuddin |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2007
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1076948 |
Daftar Isi:
- 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.