An Algorithm for Fuzzy Concept Lattices Building with Application to Social Navigation

Due to the fuzziness of information, fuzzy concept lattices (FCL) are proposed as effective tools for data analysis and knowledge discovery on the fuzzy formal context. But the mining of large database needs efficient algorithms for FCL building. In this paper, a fast and automatic algorithm for FCL building is proposed, called FCLB algorithm, for generating fuzzy concepts from a given fuzzy for-mal context and a set of fuzzy sets, automatically building a fuzzy concept lattice and representing it graphically. This work has been applied success-fully to the social navigation system which aimed to aid users in finding information more effectively