Decision-Making Approach Based on Neutrosophic Rough Information

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...

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Main Authors: Muhammad Akram, Nabeela Ishfaq, Sidra Sayed, Florentin Smarandache
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/11/5/59
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author Muhammad Akram
Nabeela Ishfaq
Sidra Sayed
Florentin Smarandache
author_facet Muhammad Akram
Nabeela Ishfaq
Sidra Sayed
Florentin Smarandache
author_sort Muhammad Akram
collection DOAJ
description 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.
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spelling doaj.art-a3fefad11c2142ab950b960fd6ba2ebd2022-12-21T18:48:34ZengMDPI AGAlgorithms1999-48932018-05-011155910.3390/a11050059a11050059Decision-Making Approach Based on Neutrosophic Rough InformationMuhammad Akram0Nabeela Ishfaq1Sidra Sayed2Florentin Smarandache3Department of Mathematics, University of the Punjab, New Campus, Lahore 54590, PakistanDepartment of Mathematics, University of the Punjab, New Campus, Lahore 54590, PakistanDepartment of Mathematics, University of the Punjab, New Campus, Lahore 54590, PakistanMathematics & Science Department, University of New Mexico, Gallup, NM 87301, USARough 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.http://www.mdpi.com/1999-4893/11/5/59neutrosophic rough hybrid modelregular neutrosophic rough digraphsdecision-making method
spellingShingle Muhammad Akram
Nabeela Ishfaq
Sidra Sayed
Florentin Smarandache
Decision-Making Approach Based on Neutrosophic Rough Information
Algorithms
neutrosophic rough hybrid model
regular neutrosophic rough digraphs
decision-making method
title Decision-Making Approach Based on Neutrosophic Rough Information
title_full Decision-Making Approach Based on Neutrosophic Rough Information
title_fullStr Decision-Making Approach Based on Neutrosophic Rough Information
title_full_unstemmed Decision-Making Approach Based on Neutrosophic Rough Information
title_short Decision-Making Approach Based on Neutrosophic Rough Information
title_sort decision making approach based on neutrosophic rough information
topic neutrosophic rough hybrid model
regular neutrosophic rough digraphs
decision-making method
url http://www.mdpi.com/1999-4893/11/5/59
work_keys_str_mv AT muhammadakram decisionmakingapproachbasedonneutrosophicroughinformation
AT nabeelaishfaq decisionmakingapproachbasedonneutrosophicroughinformation
AT sidrasayed decisionmakingapproachbasedonneutrosophicroughinformation
AT florentinsmarandache decisionmakingapproachbasedonneutrosophicroughinformation