Title :
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
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;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-5117-1
DOI :
10.1109/ISDA.2012.6416606
