The theory of neutrosophic cubic sets and their applications in pattern recognition

descriptionPublicationkeyboard_double_arrow_right Article 10 Mar 2016Publisher:SAGE PublicationsJournal:Journal of Intelligent & Fuzzy Systems, volume 30, pages 1,957-1,963 (issn: 1064-1246, eissn: 1875-8967,

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Authors: Mumtaz Ali; Irfan Deli; Florentin Smarandache;

doi: 10.3233/ifs-151906 , 10.5281/zenodo.49138

The theory of neutrosophic cubic sets and their applications in pattern recognition

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Abstract

In this study, we presented concept of neutrosophic cubic set by extending the concept of cubic set to neutrosophic set. We also defined internal neutrosophic cubic set (INCS) and external neutrosophic cubic set (ENCS). Then, we proposed some new type of INCS and ENCS is called 1 3 -INCS (or 2 3 -ENCS), 2 3 -INCS (or 1 3 -ENCS). Then we study some of their relevant properties. Finally, we introduce an adjustable approach to NCS based decision making by similarity measure and an illustrative example is employed to show that they can be successfully applied to problems that contain uncertainties.

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Keywords

cubic set, external neutrosophic cubic set, Pattern recognition, speech recognition, internal neutrosophic cubic set, neutrosophic cubic set, Cubic set, neutrosophic cubic set, Theory of fuzzy sets, etc., Reasoning under uncertainty in the context of artificial intelligence, decision making

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