Attribute granulation in fuzzy formal contexts based on \(L\)-fuzzy concepts
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Publication:6116542
DOI10.1016/j.ijar.2023.108947OpenAlexW4377990658MaRDI QIDQ6116542
Publication date: 18 July 2023
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2023.108947
Cites Work
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- Theory and applications of granular labelled partitions in multi-scale decision tables
- Concept learning via granular computing: a cognitive viewpoint
- Generalized one-sided concept lattices with attribute preferences
- On equivalence of conceptual scaling and generalized one-sided concept lattices
- Granularity of attributes in formal concept analysis
- Formal concept analysis via multi-adjoint concept lattices
- Concept lattices and conceptual knowledge systems
- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
- Attribute exploration with background knowledge
- Concept lattices defined from implication operators
- Non-dual fuzzy connections
- Sequences of refinements of rough sets: logical and algebraic aspects
- The theory of intermediate quantifiers in fuzzy natural logic revisited and the model of ``many
- Attribute reduction theory of concept lattice based on decision formal contexts
- Attribute reduction in generalized one-sided formal contexts
- On heterogeneous formal contexts
- Rule acquisition and complexity reduction in formal decision contexts
- A novel cognitive system model and approach to transformation of information granules
- Incomplete decision contexts: approximate concept construction, rule acquisition and knowledge reduction
- Variable threshold concept lattices
- Granular computing and dual Galois connection
- Rough sets
- Fuzzy sets
- Formal Concept Analysis
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