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Conference Papers Year : 2016

How Fuzzy FCA and Pattern Structures are connected?


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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hal-01420997 , version 1 (21-12-2016)


  • HAL Id : hal-01420997 , version 1


Aleksey Buzmakov, Amedeo Napoli. How Fuzzy FCA and Pattern Structures are connected?. 5th Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI'2016), Aug 2016, The Hague, Netherlands. ⟨hal-01420997⟩
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