How Fuzzy FCA and Pattern Structures are connected?
Abstract
FCA is a mathematical formalism having many applications
in data mining and knowledge discovery. Originally it deals with binary
data tables. However, there is a number of extensions that enrich standard FCA.
In this paper we consider two important extensions: fuzzy
FCA and pattern structures, and discuss the relation between them. In
particular we introduce a scaling procedure that enables representing a
fuzzy context as a pattern structure.
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