Fuzzy relation equations theory as a basis of fuzzy modelling: an overview
Fuzzy Sets and Systems - Special memorial volume on fuzzy logic and uncertainly modelling
On Archimedean triangular norms
Fuzzy Sets and Systems
Solving fuzzy relation equations with a linear objective function
Fuzzy Sets and Systems
A Note on Fuzzy Relation Programming Problems with Max-Strict-t-Norm Composition
Fuzzy Optimization and Decision Making
An efficient solution procedure for fuzzy relation equations with max-product composition
IEEE Transactions on Fuzzy Systems
An accelerated approach for solving fuzzy relation equations with a linear objective function
IEEE Transactions on Fuzzy Systems
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
The quadratic programming problem with fuzzy relation inequality constraints
Computers and Industrial Engineering
Mathematical and Computer Modelling: An International Journal
Solution to the covering problem
Information Sciences: an International Journal
Linear optimization problem constrained by fuzzy max-min relation equations
Information Sciences: an International Journal
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This paper aims to solve the problem of minimizing a linear objective function subject to a max-T fuzzy relational equation constraint, with T a continuous t-norm. This study makes two contributions. First, two extensions are given based on the results in Fang et al., where the max-min or max-product fuzzy relational equation constraint is considered. Second, a procedure for solving optimization problems with the max-Archimedean t-norm fuzzy relational equation constraint is provided. A numerical example is provided to illustrate the procedure.