Variable precision rough set model
Journal of Computer and System Sciences
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
A multi-level conceptual data reduction approach based on the Lukasiewicz implication
Information Sciences: an International Journal - Special issue: Information technology
Variable precision fuzzy rough sets model in the analysis of process data
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Attribute reduction in concept lattice based on discernibility matrix
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Dependence-space-based attribute reductions in inconsistent decision information systems
International Journal of Approximate Reasoning
Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Attribute reduction in fuzzy concept lattices based on the T implication
Knowledge-Based Systems
Relation between concept lattice reduction and rough set reduction
Knowledge-Based Systems
Axiomatic characterizations of dual concept lattices
International Journal of Approximate Reasoning
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In this paper, a variable threshold concept lattice is introduced based on a fuzzy formal context with a threshold, and some properties are discussed. The number of concepts in a variable threshold concept lattice is far less than that in a fuzzy concept lattice. Then a dependence space is constructed according to the variable threshold concept lattice. Applying the congruences on the dependence space, a closed set is obtained. And a new approach is discussed by using the closed set to construct variable threshold formal concepts.