Knowledge acquisition by methods of formal concept analysis
Proceedings of the conference on Data analysis, learning symbolic and numeric knowledge
An incremental concept formation approach for learning from databases
Theoretical Computer Science - Special issue on formal methods in databases and software engineering
Concept lattices defined from implication operators
Fuzzy Sets and Systems
Journal of Systems and Software - Special issue on artificial and computational intelligence for decisions, control, and automation in engineering and industrial applications
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Sequential Association Rule Mining with Time Lags
Journal of Intelligent Information Systems
A multi-level conceptual data reduction approach based on the Lukasiewicz implication
Information Sciences: an International Journal - Special issue: Information technology
Attribute reduction in fuzzy concept lattices based on the T implication
Knowledge-Based Systems
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In this paper, we introduce two pairs operators in fuzzy formal contexts. Based on the proposed operators, we present two types of generalized variable precision formal concepts, i.e. property oriented crisp-fuzzy concepts and object oriented fuzzy-crisp concepts. We have different level generalized formal concepts with different precision level. Last, we discuss the relationship between different precision level generalized concepts lattices in details.