Concept lattices defined from implication operators
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Cited by (83)
Attribute granulation in fuzzy formal contexts based on L-fuzzy concepts
2023, International Journal of Approximate ReasoningA novel outlier detection approach based on formal concept analysis
2023, Knowledge-Based SystemsNew algorithm for the elucidation of functional properties of gelatin-based materials
2021, Computers and Chemical EngineeringConstructing L-fuzzy concept lattices without fuzzy Galois closure operation
2018, Fuzzy Sets and SystemsCitation Excerpt :A direct approach to construct fuzzy concept lattice is considerably more efficient [1,2]. To directly deal with a formal context with uncertain and fuzzy data information, researchers have proposed a variety of methods [3,19,25]. The approach of Pollandt and Belohlavek has become the usual method [4].
Attribute reduction in generalized one-sided formal contexts
2017, Information SciencesGranular reducts of formal fuzzy contexts
2016, Knowledge-Based SystemsCitation Excerpt :For this reason, binary fuzzy relations are used to analyze Galois connections between objects and attributes. Burusco and Fuentes-Gonzáles [4] first examined FCA in a fuzzy setting, and they defined L-fuzzy concepts using implication operators. In recent years, many researchers have extended FCA theory by using the ideas from fuzzy logic reasoning or fuzzy set theory, and several generalizations of formal fuzzy concept have been made (please see [1,9,12,13,15,34,40,48]).
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