Construction of the L-fuzzy concept lattice
Fuzzy Sets and Systems
The study of the interval-valued contexts
Fuzzy Sets and Systems
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy inference based on fuzzy concept lattice
Fuzzy Sets and Systems
Information Sciences: an International Journal
Granular computing and dual Galois connection
Information Sciences: an International Journal
Set approximations in fuzzy formal concept analysis
Fuzzy Sets and Systems
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
International Journal of Approximate Reasoning
Short Communication: Concept lattice reduction using fuzzy K-Means clustering
Expert Systems with Applications: An International Journal
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
Computationally efficient sup-t transitive closure for sparse fuzzy binary relations
Fuzzy Sets and Systems
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
Granular computing applied to ontologies
International Journal of Approximate Reasoning
Fuzzy graph representation of a fuzzy concept lattice
Fuzzy Sets and Systems
Attribute reduction in fuzzy concept lattices based on the T implication
Knowledge-Based Systems
A neural-fuzzy modelling framework based on granular computing: Concepts and applications
Fuzzy Sets and Systems
Extending conceptualisation modes for generalised Formal Concept Analysis
Information Sciences: an International Journal
Modeling rough granular computing based on approximation spaces
Information Sciences: an International Journal
Note on generating fuzzy concept lattices via Galois connections
Information Sciences: an International Journal
Alpha galois lattices: an overview
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Information Granularity in Fuzzy Binary GrC Model
IEEE Transactions on Fuzzy Systems
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
Hi-index | 0.20 |
This paper introduces granular computing (GrC) into formal concept analysis (FCA). It provides a unified model for concept lattice building and rule extraction on a fuzzy granularity base for different granulations. One of the strengths of GrC is that larger granulations help to hide some specific details, whereas FCA in a GrC context can prevent losses due to concept lattice complexity. However, the number of superfluous rules increases exponentially with the scale of the decision context. To overcome this we present some inference rules and maximal rules and prove that the set of all these maximal rules is complete and nonredundant. Thus, users who want to obtain decision rules should generate maximal rules. Examples demonstrate that application of the method is valid and practicable. In summary, this approach utilizes FCA in a GrC context and provides a practical basis for data analysis and processing.