Clustering Compression of Object-Induced Three-Way Concept Lattice in Fuzzy Formal Context

In order to improve the effectiveness of fuzzy three-way concept lattice information extraction, this paper proposes a fuzzy three-way concept lattice clustering compression method based on fuzzy three-way concept information system. By studying the relationship between fuzzy three-way concept and attributes, the diversity factor of fuzzy three-way concepts under each attribute is defined to obtain the distance between fuzzy three-way concepts. Aiming at the problem that it is difficult to find cluster center in system clustering, we give a method of selecting cluster center and discuss a system clustering algorithm based on fuzzy three-way concept. Finally, K-deletion transformation under fuzzy formal context is analyzed, and a compressed lattice containing the original concept is established. Experiments show the effectiveness of the proposed method.