Decision-Making Approach Based on Neutrosophic Rough Information
AbstractRough 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
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Akram, M.; Ishfaq, N.; Sayed, S.; Smarandache, F. Decision-Making Approach Based on Neutrosophic Rough Information. Algorithms 2018, 11, 59.
Akram M, Ishfaq N, Sayed S, Smarandache F. Decision-Making Approach Based on Neutrosophic Rough Information. Algorithms. 2018; 11(5):59.Chicago/Turabian Style
Akram, Muhammad; Ishfaq, Nabeela; Sayed, Sidra; Smarandache, Florentin. 2018. "Decision-Making Approach Based on Neutrosophic Rough Information." Algorithms 11, no. 5: 59.
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