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Fuzzy Many-Valued Context Analysis Based on Formal Description

Formal concept analysis (FCA) is an effective formal tool for data analysis. However, when FCA is applied to documents knowledge discovery, there are many situations in which uncertainty information also occurs. This paper proposed an approach to fuzzy many-valued context analysis by using formal descriptions instead of scaling. Within this approach, we extended the many-valued context by using the theory of fuzzy set. It certainly does not provide a better analysis than scaling, but it allows to do document knowledge discovery with the theory of FCA and to reduce the complexity of fuzzy concept lattice by using the conjunction and disjunction of confidence thresholds of different attributes.