On the resolution and optimization of a system of fuzzy relational equations with sup-T composition
Fuzzy Optimization and Decision Making
Journal of Computational and Applied Mathematics
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
Novel approximate solving algorithm for fuzzy relational equations
Mathematical and Computer Modelling: 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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This paper proposes a new computer algorithm to solve the fuzzy relation equation P&ogr;Q=R, where &ogr; denotes max-min composition or max-product composition. This algorithm operates systematically and graphically on a matrix pattern to get all the solutions of P. Furthermore, by using MATLAB software 6.0, the algorithm is implemented in a computer program attached in the appendix of this paper. Two examples are given to illustrate the effectiveness of the proposed algorithm.