Multi-objective optimization problems with fuzzy relation equation constraints
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
Solution Sets of Interval-Valued Min-S-Norm Fuzzy Relational Equations
Fuzzy Optimization and Decision Making
On the resolution and optimization of a system of fuzzy relational equations with sup-T composition
Fuzzy Optimization and Decision Making
Information Sciences: an International Journal
Optimization of linear objective function under max-product fuzzy relational constraint
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Minimizing a nonlinear function under a fuzzy max-t-norm relational equation constraint
Expert Systems with Applications: An International Journal
Journal of Computational and Applied Mathematics
Minimizing a linear objective function under a fuzzy max-t norm relation equation constraint
Information Sciences: an International Journal
Multi-objective optimization with a max-t-norm fuzzy relational equation constraint
Computers & Mathematics with Applications
On fuzzy relational equations and the covering problem
Information Sciences: an International Journal
An efficient algorithm to computing max-min post-inverse fuzzy relation for abductive reasoning
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Linear optimization with an arbitrary fuzzy relational inequality
Fuzzy Sets and Systems
Linear optimization with bipolar max-min constraints
Information Sciences: an International Journal
Resolution of fuzzy relational equations - Method, algorithm and software with applications
Information Sciences: an International Journal
Resolution of a system of the max-product fuzzy relation equations using LºU-factorization
Information Sciences: an International Journal
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We study a system of fuzzy relation equations with max-product composition and present an efficient solution procedure to characterize the whole solution set by finding the maximum solution as well as the complete set of minimal solutions. Instead of solving the problem combinatorially, the procedure identifies the “nonminimal” solutions and eliminates them from the set of minimal solutions