Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Processing in relational structures: fuzzy relational equations
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Fuzzy multiple objective programming and compromise programming with Pareto optimum
Fuzzy Sets and Systems
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Solving multiobjective linear programming problems—a generic approach
Fuzzy Sets and Systems
Solution algorithms for fuzzy relational equations with max-product composition
Fuzzy Sets and Systems
Solving fuzzy relation equations with a linear objective function
Fuzzy Sets and Systems
Optimization of fuzzy relation equations with max-product composition
Fuzzy Sets and Systems
Solving nonlinear optimization problems with fuzzy relation equation constraints
Fuzzy Sets and Systems
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Multi-objective optimization problems with fuzzy relation equation constraints
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
An accelerated approach for solving fuzzy relation equations with a linear objective function
IEEE Transactions on Fuzzy Systems
Satisficing solutions of multi-objective fuzzy optimization problems using genetic algorithm
Applied Soft Computing
Novel approximate solving algorithm for fuzzy relational equations
Mathematical and Computer Modelling: An International Journal
A multi-objective evolutionary approach for fuzzy optimization in production planning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.98 |
A multiple objective optimization model subject to a system of fuzzy relation equations with max-average composition and a reduction procedure in order to reduce problem dimension are presented. Furthermore, a genetic algorithm is reviewed and some of its components are modified to solve the problem. Finally, the algorithm is performed on different problems and its major components role in detecting the solution is examined.