Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Complexity of identification and dualization of positive Boolean functions
Information and Computation
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Solution algorithms for fuzzy relational equations with max-product composition
Fuzzy Sets and Systems
Composite fuzzy relational equations with non-commutative conjunctions
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on modeling with soft-computing
On generating the irredundant conjunctive and disjunctive normal forms of monotone Boolean functions
Discrete Applied Mathematics - Special issue on the satisfiability problem and Boolean functions
Resolution of composite fuzzy relation equations based on Archimedean triangular norms
Fuzzy Sets and Systems
Data compression with fuzzy relational equations
Fuzzy Sets and Systems - Information processing
Fuzzy relation equations for coding/decoding processes of images and videos
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Relation Equations (II): The Branch-point-solutions and the Categorized Minimal Solutions
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Algorithm for Solving Max-product Fuzzy Relational Equations
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Solutions of fuzzy relation equations based on continuous t-norms
Information Sciences: an International Journal
On the minimal solutions of max--min fuzzy relational equations
Fuzzy Sets and Systems
An algorithm for solving fuzzy relation equations with max-T composition operator
Information Sciences: an International Journal
Is there a need for fuzzy logic?
Information Sciences: an International Journal
On the resolution and optimization of a system of fuzzy relational equations with sup-T composition
Fuzzy Optimization and Decision Making
A survey on fuzzy relational equations, part I: classification and solvability
Fuzzy Optimization and Decision Making
On the relation between equations with max-product composition and the covering problem
Fuzzy Sets and Systems
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient solution procedure for fuzzy relation equations with max-product composition
IEEE Transactions on Fuzzy Systems
Matrix-pattern-based computer algorithm for solving fuzzy relation equations
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Resolution of a system of fuzzy polynomial equations using the Gröbner basis
Information Sciences: an International Journal
Solution to the covering problem
Information Sciences: an International Journal
Information Sciences: an International Journal
Resolution of fuzzy relational equations - Method, algorithm and software with applications
Information Sciences: an International Journal
Some properties of infinite fuzzy relational equations with sup-inf composition
Information Sciences: an International Journal
Multi-adjoint relation equations: Definition, properties and solutions using concept lattices
Information Sciences: an International Journal
Using concept lattice theory to obtain the set of solutions of multi-adjoint relation equations
Information Sciences: an International Journal
Hi-index | 0.07 |
Previous studies have shown that fuzzy relational equations (FREs) based on either the max-continuous Archimedean t-norm or the max-arithmetic mean composition can be transformed into the covering problem, which is an NP-hard problem. Exploiting the properties common to the continuous Archimedean t-norm and the arithmetic mean, this study proposes a generalization of them as the ''u-norm'', enabling FREs that are based on the max-continuous u-norm composition also to be transformed into the covering problem. This study also proposes a procedure for transforming the covering problem into max-product FREs. Consequently, max-continuous u-norm FREs can be solved by extending any procedure for solving either the covering problem or max-product FREs.