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Algorithms 2018, 11(5), 59; https://doi.org/10.3390/a11050059

Decision-Making Approach Based on Neutrosophic Rough Information

1
Department of Mathematics, University of the Punjab, New Campus, Lahore 54590, Pakistan
2
Mathematics & Science Department, University of New Mexico, Gallup, NM 87301, USA
*
Author to whom correspondence should be addressed.
Received: 13 February 2018 / Revised: 20 April 2018 / Accepted: 1 May 2018 / Published: 3 May 2018
(This article belongs to the Special Issue Algorithms for Decision Making)
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Abstract

Rough set theory and neutrosophic set theory are mathematical models to deal with incomplete and vague information. These two theories can be combined into a framework for modeling and processing incomplete information in information systems. Thus, the neutrosophic rough set hybrid model gives more precision, flexibility and compatibility to the system as compared to the classic and fuzzy models. In this research study, we develop neutrosophic rough digraphs based on the neutrosophic rough hybrid model. Moreover, we discuss regular neutrosophic rough digraphs, and we solve decision-making problems by using our proposed hybrid model. Finally, we give a comparison analysis of two hybrid models, namely, neutrosophic rough digraphs and rough neutrosophic digraphs. View Full-Text
Keywords: neutrosophic rough hybrid model; regular neutrosophic rough digraphs; decision-making method neutrosophic rough hybrid model; regular neutrosophic rough digraphs; decision-making method
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Akram, M.; Ishfaq, N.; Sayed, S.; Smarandache, F. Decision-Making Approach Based on Neutrosophic Rough Information. Algorithms 2018, 11, 59.

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