Relational-product architectures for information processing
Information Sciences: an International Journal - Special issue on expert systems
Special properties, closures and interiors of crisp and fuzzy relations
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: the foundations of application—from a mathematical point of view
Fuzzy sets and fuzzy logic: the foundations of application—from a mathematical point of view
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Discovering knowledge from fuzzy concept lattice
Data mining and computational intelligence
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relational Systems: Foundations and Principles
Fuzzy Relational Systems: Foundations and Principles
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Associatively tied implications
Fuzzy Sets and Systems - Theme: Basic concepts
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Relational compositions in Fuzzy Class Theory
Fuzzy Sets and Systems
Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
International Journal of Approximate Reasoning
The logic of tied implications, part 1: Properties, applications and representation
Fuzzy Sets and Systems
Optimal decompositions of matrices with entries from residuated lattices
Journal of Logic and Computation
What is a fuzzy concept lattice? II
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Simple proof of basic theorem for general concept lattices by cartesian representation
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Multi-adjoint relation equations: Definition, properties and solutions using concept lattices
Information Sciences: an International Journal
On heterogeneous formal contexts
Fuzzy Sets and Systems
Using concept lattice theory to obtain the set of solutions of multi-adjoint relation equations
Information Sciences: an International Journal
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We present a simple framework which enables us to consider the well-known sup-t-norm and inf-residuum products of relations as two particular cases of a single, more general type of product. We present basic properties of the framework and consequences for the theory of fuzzy relations. Informally, the paper implies that in many cases of fuzzy relational modeling, such as in solving fuzzy relational equations, there is no need to develop the methods for sup-t-norm and inf-residuum products separately, because these methods are just two particular instances of a single method.