Interpretation of Fuzzy Attribute Subsets in Generalized One-Sided Concept Lattices

  • Peter Butka Technical University of Kosice
  • Jozef Pocs Palacky University Olomouc
  • Jana Pocsova Technical University of Kosice
Keywords: Generalized one-sided concept lattices, Galois connections, object-attribute model


In this paper we describe possible interpretation and reduction of fuzzy attributes in GeneralizedOne-sided Concept Lattices (GOSCL). This type of concept lattices represent generalization ofFormal Concept Analysis (FCA) suitable for analysis of datatables with different types of attributes. FCA as well as generalized one-sided concept lattices represent conceptual data miningmethods. With growing number of attributes the interpretation of fuzzy subsets may become unclear, hence another interpretation of this fuzzy attribute subsets can be valuable. The originalityof the presented method is based on the usage of one-sided concept lattices derived from submodels of former object-attribute model by grouping attributes with the same truth value structure.This leads to new method for attribute reduction in GOSCL environment.

Author Biographies

Peter Butka, Technical University of Kosice

Department of Cybernetics and Artificial Intelligence

assistant professor

Jozef Pocs, Palacky University Olomouc

Department of Algebra and Geometry

assistant professor

Jana Pocsova, Technical University of Kosice

BERG Faculty

assistant professor