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Symmetry 2018, 10(6), 197; https://doi.org/10.3390/sym10060197

Multi-Criteria Decision-Making Method Based on Simplified Neutrosophic Linguistic Information with Cloud Model

1
School of Business, Central South University, Changsha 410083, China
2
Management School, University of South China, Hengyang 421001, China
*
Authors to whom correspondence should be addressed.
Received: 25 April 2018 / Revised: 11 May 2018 / Accepted: 29 May 2018 / Published: 1 June 2018
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Abstract

This study introduces simplified neutrosophic linguistic numbers (SNLNs) to describe online consumer reviews in an appropriate manner. Considering the defects of studies on SNLNs in handling linguistic information, the cloud model is used to convert linguistic terms in SNLNs to three numerical characteristics. Then, a novel simplified neutrosophic cloud (SNC) concept is presented, and its operations and distance are defined. Next, a series of simplified neutrosophic cloud aggregation operators are investigated, including the simplified neutrosophic clouds Maclaurin symmetric mean (SNCMSM) operator, weighted SNCMSM operator, and generalized weighted SNCMSM operator. Subsequently, a multi-criteria decision-making (MCDM) model is constructed based on the proposed aggregation operators. Finally, a hotel selection problem is presented to verify the effectiveness and validity of our developed approach. View Full-Text
Keywords: simplified neutrosophic linguistic numbers; cloud model; Maclaurin symmetric mean; multi-criteria decision-making simplified neutrosophic linguistic numbers; cloud model; Maclaurin symmetric mean; multi-criteria decision-making
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).
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Wang, J.-Q.; Tian, C.-Q.; Zhang, X.; Zhang, H.-Y.; Wang, T.-L. Multi-Criteria Decision-Making Method Based on Simplified Neutrosophic Linguistic Information with Cloud Model. Symmetry 2018, 10, 197.

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