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Erschienen in: Neural Computing and Applications 5/2018

17.12.2016 | Original Article

Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators

verfasst von: Jian-qiang Wang, Yu Yang, Lin Li

Erschienen in: Neural Computing and Applications | Ausgabe 5/2018

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Abstract

This paper investigates a wide range of generalized Maclaurin symmetric mean (MSM) aggregation operators, such as the generalized arithmetic MSM and the generalized geometric MSM, whose predominant characteristic is capturing the interrelationships among multi-input arguments. The single-valued neutrosophic linguistic set plays an essential role in decision making, which can serve as an extension of either a linguistic term set or a single-valued neutrosophic set. This study centers on multi-criteria decision-making (MCDM) issues in which criteria are weighed differently and criteria values are expressed as single-valued neutrosophic linguistic numbers. Based on this foundation, we extend a series of MSM aggregation techniques under single-valued neutrosophic linguistic environments and propose procedures for solving MCDM problems. We also explore the influence of parameters on aggregation results. Finally, we provide a practical example and conduct a comparison analysis between the proposed approach and other existing methods in order to verify the proposed approach and demonstrate its validity.

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Metadaten
Titel
Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators
verfasst von
Jian-qiang Wang
Yu Yang
Lin Li
Publikationsdatum
17.12.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 5/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2747-0

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