Next Article in Journal / Special Issue
Vessel Traffic Risk Assessment Based on Uncertainty Analysis in the Risk Matrix
Previous Article in Journal
Computing Fault-Containment Times of Self-Stabilizing Algorithms Using Lumped Markov Chains
Previous Article in Special Issue
Failure Mode and Effects Analysis Considering Consensus and Preferences Interdependence
Article Menu

Export Article

Open AccessArticle
Algorithms 2018, 11(5), 59;

Decision-Making Approach Based on Neutrosophic Rough Information

Department of Mathematics, University of the Punjab, New Campus, Lahore 54590, Pakistan
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)
Full-Text   |   PDF [525 KB, uploaded 4 May 2018]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Akram, M.; Ishfaq, N.; Sayed, S.; Smarandache, F. Decision-Making Approach Based on Neutrosophic Rough Information. Algorithms 2018, 11, 59.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top