How Fuzzy FCA and Pattern Structures are Connected?

نویسندگان

  • Aleksey Buzmakov
  • Amedeo Napoli
چکیده

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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تاریخ انتشار 2016