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Fuzzy concept lattices are being used as the basis for creating fuzzy ontologies. Fuzzy formal contexts serve as the starting point for which a variety of proposed methods have been used to create fuzzy concept lattices from them. This paper reviews two of these methods: the one-sided threshold approach and the fuzzy closure operator approach and presents the first comparison between these two approaches...
In order to handle vague information of ontology mapping, a novel method based on the Fuzzy Formal Concept Analysis (FCA) theory was proposed. The ontology was first defined to model vague data, and then a fuzzy formal context was constructed with the combination of two ontologies. At last, a concept similarity measure model was proposed for improving ontology mapping. Compared with other ontology...
A novel method for collaborative filtering recommendation based on fuzzy formal concept analysis is proposed in this paper, including the algorithm for user rating matrix fuzzification, the algorithm generating fuzzy concept for rating prediction and the algorithm generating predicting rating. Fuzzy formal concept analysis is a means of conceptual clustering, it not only solves the high sparsity problem...
In this paper, we have integrated fuzzy logic in the formal context, developing fuzzy formal concept analysis to support the automatic generation of primitive fuzzy ontology that can deal with uncertain information. The proposed automatic fuzzy ontology generation approach consists of the following steps: first, fuzzy formal concepts are created through fuzzy formal context; then, the decision rules...
The paper investigates the application of fuzzy logic based concept summarization and formal concept analysis in automatically building concept hierarchies from a text corpora. The context of a term has been modeled using its syntactic relations with the most frequent verbs, which act as attributes. This context information has been used to produce a concept lattice, which retains the concept hierarchies...
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