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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 1/2017

23.08.2016 | Original Article

Three-way fuzzy concept lattice representation using neutrosophic set

verfasst von: Prem Kumar Singh

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 1/2017

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Abstract

Recently, three-way concept lattice is studied to handle the uncertainty and incompleteness in the given attribute set based on acceptation, rejection, and uncertain regions. This paper aimed at analyzing the uncertainty and incompleteness in the given fuzzy attribute set characterized by truth-membership, indeterminacy-membership, and falsity membership functions of a defined single-valued neutrosophic set. For this purpose a method is proposed to generate the component wise three-way formal fuzzy concept and their hierarchical order visualization in the fuzzy concept lattice using the properties of neutrosophic graph, neutrosophic lattice, and Gödel residuated lattice with an illustrative example.
Vorheriger Artikel Method for generating decision implication canonical basis based on true premises
Nächster Artikel Attribute reduction in inconsistent formal decision contexts based on congruence relations

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Metadaten
Titel
Three-way fuzzy concept lattice representation using neutrosophic set
verfasst von
Prem Kumar Singh
Publikationsdatum
23.08.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 1/2017
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-016-0585-0

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