Three-way fuzzy concept lattice representation using neutrosophic set

نویسنده

  • Prem Kumar Singh
چکیده

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.

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عنوان ژورنال:
  • Int. J. Machine Learning & Cybernetics

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2017