2021
DOI: 10.3390/sym13122322
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Some Single-Valued Neutrosophic Uncertain Linguistic Maclaurin Symmetric Mean Operators and Their Application to Multiple-Attribute Decision Making

Abstract: The Maclaurin symmetric mean (MSM) operator has a good aggregation effect. It can capture the relationships between multiple input parameters, and the neutrosophic uncertain linguistic numbers can well represent some indeterminate and incomplete information. In this paper, we combine the MSM operator with the singled-valued neutrosophic uncertain linguistic set and propose some MSM operators based on single-valued neutrosophic uncertain linguistic environment, such as single-valued neutrosophic uncertain lingu… Show more

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Cited by 2 publications
(2 citation statements)
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“…Ali et al [50] proposed complex intuitionistic fuzzy Maclaurin symmetric mean operators and their applications for emergency program selection. Song et al [51] proposed some single-valued neutrosophic uncertain linguistic Maclaurin symmetric mean operators and their application to multiple-attribute decision making. Aliya et al [52] proposed Maclaurin symmetric mean aggregation operators based on cubic Pythagorean linguistic fuzzy number.…”
Section: Introductionmentioning
confidence: 99%
“…Ali et al [50] proposed complex intuitionistic fuzzy Maclaurin symmetric mean operators and their applications for emergency program selection. Song et al [51] proposed some single-valued neutrosophic uncertain linguistic Maclaurin symmetric mean operators and their application to multiple-attribute decision making. Aliya et al [52] proposed Maclaurin symmetric mean aggregation operators based on cubic Pythagorean linguistic fuzzy number.…”
Section: Introductionmentioning
confidence: 99%
“…In the past, people used a single criterion to make decisions [7][8][9]. Complexity requires decision-making activities under multiple irreplaceable criteria, and the MADM problem emerges as the times require [10,11]. MADM has a wide applications in society, economy, enterprise, urban management, ecological environment, energy system engineering, transportation system, agricultural system engineering, education system, and military system engineering [12][13][14].…”
Section: Introductionmentioning
confidence: 99%