How Fuzzy FCA and Pattern Structures are connected?

Aleksey Buzmakov (1) , Amedeo Napoli (2)

1 HSE - Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow]
2 ORPAILLEUR - Knowledge representation, reasonning

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.

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]; Mathématique discrète [cs.DM]; Apprentissage [cs.LG]

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⟩