Single-valued neutrosophic Schweizer-Sklar Hamy mean aggregation operators and their application in multi-attribute decision making

Zhi-zhu, Yuan; Hou, Lijuan; Gao, Zihuan; Wu, Meiqin; Jian, Fan

doi:10.3233/jifs-212818

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…Liu et al [34] extended the SS prioritized (SSPR) AO considering the prioritization relationship among indicators to SVNSs, and a practical case of talent introduction verified its feasibility. The SVN SS Hamy mean (SVNSSHM) AO, a potent tool for addressing a wider variety of issues, was defined by Yuan et al [35].…”

Section: Svnssmentioning

confidence: 99%

“…Pythagorean fuzzy sets (PFSs) [36] offered the benefit of being able to represent more information, but they also shared certain drawbacks with IFSs. (2) In the SVN environment, the SVNSSMM [33] and the SVNSSHM AOs [35] only considered the interrelationship between multiple input variables but neglected to focus on the data totality, while the SVN SSPR (SVNSSPR) AO [34] was used to deal with MCDM problems including a certain degree of prioritization among attributes.…”

Section: Svnssmentioning

confidence: 99%

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Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis

Chen

Zeng

et al. 2023

Sustainability

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Landfills are an effective way to dispose of waste and appropriate landfill sites can lessen environmental damage during waste treatment. Solid waste landfill site (SWLS) selection has received much attention in the area of multi-criteria decision-making in recent years. However, the uncertainty and complexity of the SWLS selection make it a significant challenge for decision makers (DMs). Since single-valued neutrosophic (SVN) sets have the great advantage of handling complex problems with uncertain and inconsistent information, this paper aims at offering a site planning strategy under the SVN environment. For the SWLS selection problem with interrelated factors, the Schweizer–Sklar power Bonferroni mean operator is first created, which not only considers the possible correlations among attributes but also reduces the adverse effects of anomalous assessment information on decision results. Then, a multi-criteria analysis framework based on the aggregation operator is proposed and then applied to a real-world SWLS selection. DMs can flexibly adjust the parameters in this model to achieve a preferred SWLS that integrates economic, environmental, and social perspectives. The consistent results obtained from the comparative analysis highlight its benefits for selecting proper SWLSs.

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Section: Svnssmentioning

confidence: 99%

Section: Svnssmentioning

confidence: 99%

Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis

Chen

Zeng

et al. 2023

Sustainability

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A new exponential-logarithm-based single-valued neutrosophic set and their applications

Garg

2024

Expert Systems with Applications

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Grey relational analysis method for multi-attribute group decision making based on cumulative prospect theory under single-value neutrosophic sets

Li,

Cai,

Wei

2024

IFS

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In this paper, the author propose a unique multi-attribute group decision making(MAGDM) method SVN-CPT-GRA. The method takes the single-value neutrosophic environment as the decision-making environment and uses the entropy weighted-grey relational analysis method under cumulative prospect theory. First, based on the evaluation of decision-makers, the single-value neutrosophic decision matrix was obtained. The entropy weight method was used to calculate the attribute weights. Next, according to the distance between each SVNN and the negative ideal value, combining the gray relation analysis and the cumulative prospect theory, the correlation between each solution and the attribute is compared to determine the advantages and disadvantages of each solution. Finally, the extended gray relational analysis method is demonstrated to be effectively applied to the decision-making process through a case study of investment choices in new energy vehicles and a comparison with other methods. The main innovations in this paper can be summarized as follows. Firstly, combining the cumulative prospect theory with the gray relational analysis for decision making can better reflect and represent the psychological changes and risk sensitivity of decision makers. Secondly, the entropy weight method is used to determine the attribute weights according to the distance between SVNN and the negative ideal value, which makes the attribute weights more objective and ensures the scientificity and reasonableness of the attribute weights. Thirdly, applying GRA method to the single-value neutrosophic environment, the original simple and practical GRA method to be more widely applied to the fuzzy environment, expanding the scope of application. Overall, the extended GRA method proposed in this paper can be more efficiently and scientifically adapted to MAGDM in fuzzy environments, providing more choices for decision-makers.

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Single-valued neutrosophic Schweizer-Sklar Hamy mean aggregation operators and their application in multi-attribute decision making

Cited by 3 publications

References 45 publications

Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis

Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis

A new exponential-logarithm-based single-valued neutrosophic set and their applications

Grey relational analysis method for multi-attribute group decision making based on cumulative prospect theory under single-value neutrosophic sets

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