Interval-valued fuzzy graph representation of concept lattice

Author

Singh, Praveen Kumar ; Kumar, C. Aswani

Author_Institution

Sch. of Inf. Techonology & Eng., VIT Univ., Vellore, India

fYear

2012

fDate

27-29 Nov. 2012

Firstpage

604

Lastpage

609

Abstract

Formal Concept Analysis (FCA) with fuzzy setting has been successfully applied by researchers for data analysis and representation. Reducing the number of fuzzy formal concepts and their lattice structure are addressed as a major issues. In this study, we try to link between interval-valued fuzzy graph and fuzzy concept lattice to overcome from the issue. We show that proposed method reduces the number of fuzzy formal concepts and their lattice structure while preserving specialized and generalized concepts. Proposed link will be useful for the researcher in data analysis and processing.

Keywords

data analysis; data structures; formal concept analysis; fuzzy set theory; graph theory; FCA; concept lattice; data analysis; data processing; data representation; formal concept analysis; fuzzy formal concepts; fuzzy setting; interval valued fuzzy graph representation; lattice structure; Context; Data analysis; Fuzzy sets; Intelligent systems; Lattices; Read only memory; Visualization; Formal Concept Analysis (FCA); Fuzzy concept lattice; Fuzzy graph; Interval-valued fuzzy graph; Knowledge reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on

Conference_Location

Kochi

ISSN

2164-7143

Print_ISBN

978-1-4673-5117-1

Type

conf

DOI

10.1109/ISDA.2012.6416606

Filename

6416606