Reducing the size of fuzzy concept lattices by fuzzy closure operators

Radim Belohlavek; Vilem Vychodil

doi:10.14864/softscis.2006.0.309.0

SCIS & ISIS 2006

Session ID : TH-C3-4

DOI https://doi.org/10.14864/softscis.2006.0.309.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

TH-C3 Mathematics and Theory (1)

Reducing the size of fuzzy concept lattices by fuzzy closure operators

*Radim Belohlavek, Vilem Vychodil

Author information

Keywords: fuzzy logic, data analysis, formal concept analysis

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

The paper presents a general method of imposing constraints in formal concept analysis of tabular data with fuzzy attributes. The constraints represent a user-defined requirements which are supplied along with the input data table. The main effect is to filter-out conceptual clusters (outputs of the analysis) which are not compatible with the constraint, in a computationally efficient way. Our approach covers several examples studied before, e.g. crisply generated concepts and constraints by hedges.

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