Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Reduction method for concept lattices based on rough set theory and its application
Computers & Mathematics with Applications
Construction of rough approximations in fuzzy setting
Fuzzy Sets and Systems
A multiview approach for intelligent data analysis based on data operators
Information Sciences: an International Journal
Generalized rough sets over fuzzy lattices
Information Sciences: an International Journal
A framework for integrating information sources under lattice structure
Information Fusion
Relations of attribute reduction between object and property oriented concept lattices
Knowledge-Based Systems
Generating complete set of implications for formal contexts
Knowledge-Based Systems
Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
International Journal of Approximate Reasoning
Formal concept analysis for an e-learning semantic web
Expert Systems with Applications: An International Journal
Generating a catalog of unanticipated schemas in class hierarchies using Formal Concept Analysis
Information and Software Technology
Formal concept analysis in knowledge discovery: a survey
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Fuzzy Optimization and Decision Making
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
Knowledge-Based Systems
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
Multi-adjoint property-oriented and object-oriented concept lattices
Information Sciences: an International Journal
Rough set approximations in formal concept analysis
Transactions on Rough Sets V
A Possibility-Theoretic View of Formal Concept Analysis
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
On the classification of fuzzy-attributes in multi-adjoint concept lattices
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
International Journal of Approximate Reasoning
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Attribute reduction is an important step in reducing computational complexity in order to extract information from relational systems. Three of these systems are the formal, object-oriented and property oriented concept lattices. Attribute reduction in the last two concept lattices has recently been studied. The relation with the first concept lattice is very important since two important, independent tools to extract information from databases-the formal concept analysis and rough set theory-will be related. This paper studies attribute reduction in these three frameworks. The main results are that the classification of each attribute into absolutely necessary, relatively necessary and absolutely unnecessary attributes is independent of the framework considered and that an attribute reduct in one of these relational systems is also an attribute reduct in the others.