Inverse problem in fuzzy relational equations
Fuzzy Sets and Systems
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
s-t fuzzy relational equations
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Solving fuzzy relational equations through logical filtering
Fuzzy Sets and Systems
Specificity shift in solving fuzzy relational equations
Fuzzy Sets and Systems
Solving fuzzy relation equations with a linear objective function
Fuzzy Sets and Systems
On the logic foundation of fuzzy reasoning
Information Sciences: an International Journal
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
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
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
A Note on Fuzzy Relation Programming Problems with Max-Strict-t-Norm Composition
Fuzzy Optimization and Decision Making
Some specific types of fuzzy relation equations
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy relation equations for coding/decoding processes of images and videos
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Optimization and Decision Making
Relational image compression: optimizations through the design of fuzzy coders and YUV color space
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Fuzzy Optimization and Decision Making
Łukasiewicz transform and its application to compression and reconstruction of digital images
Information Sciences: an International Journal
System of fuzzy relation equations as a continuous model of IF-THEN rules
Information Sciences: an International Journal
Fuzzy relational equations with generalized connectives and their applications
Fuzzy Sets and Systems
On the relation between equations with max-product composition and the covering problem
Fuzzy Sets and Systems
On various eigen fuzzy sets and their application to image reconstruction
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
An accelerated approach for solving fuzzy relation equations with a linear objective function
IEEE Transactions on Fuzzy Systems
On the resolution and optimization of a system of fuzzy relational equations with sup-T composition
Fuzzy Optimization and Decision Making
The quadratic programming problem with fuzzy relation inequality constraints
Computers and Industrial Engineering
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 a system of the max-product fuzzy relation equations using LºU-factorization
Information Sciences: an International Journal
An algorithm for solving optimization problems with fuzzy relational inequality constraints
Information Sciences: an International Journal
A stepwise fuzzy linear programming model with possibility and necessity relations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, we study the new linear objective function optimization with respect to the fuzzy relational inequalities defined by max-min composition in which fuzzy inequality replaces ordinary inequality in the constraints. Fuzzy inequalities enable us to attain the optimal points that are better solutions than those resulting from the resolution of the similar problems with Ordinary Inequality constraints (denoted by x"O"I in this paper). We have presented an algorithm to generate such optimal solutions. Also two examples are given to illustrate the algorithm presented and some real application of this work.