Algorithm for Solving Max-product Fuzzy Relational Equations
โ Scribed by Ketty Peeva; Yordan Kyosev
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 227 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1432-7643
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The conditions for the existence of an inverse solution to the max-rain composition of fuzzy relational equations have been well documented since the original work by Sanchez . These same existence theorems have been extended to the t-norm composition of relational equations, in which the max-produc
Studied is a system of "N" fuzzy relational equations with a max-t composition where the input-output fuzzy sets (x(k) and y(k)) are available while the fuzzy relation (R) needs to be determined. The solution to these equations is derived through a new paradigm of specificity shift. The main object
An optimization problem with a linear objective function subject to a system of fuzzy relation equations using maxproduct composition is considered. Since the feasible domain is non-convex, traditional linear programming methods cannot be applied. We study this problem and capture some special chara