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How Fuzzy FCA and Pattern Structures are connected?

Aleksey Buzmakov 1 Amedeo Napoli 2 
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
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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Submitted on : Wednesday, December 21, 2016 - 1:18:13 PM
Last modification on : Thursday, August 4, 2022 - 5:18:46 PM
Long-term archiving on: : Tuesday, March 21, 2017 - 9:39:24 AM


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  • 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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