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Aczel-Alsina Weighted Aggregation Operators of Simplified Neutrosophic Numbers and Its Application in Multiple Attribute Decision Making

Rui Yong1,2,*, Jun Ye1,2, Shigui Du1,2, Aqin Zhu1, Yingying Zhang1

1 Rock Mechanics Institute, Ningbo University, Ningbo, 315211, China
2 School of Civil and Environmental Engineering, Ningbo University, Ningbo, 315211, China

* Corresponding Author: Rui Yong. Email: email

(This article belongs to the Special Issue: Extension, Modeling and Applications of Fuzzy Set Theory in Engineering and Science)

Computer Modeling in Engineering & Sciences 2022, 132(2), 569-584. https://doi.org/10.32604/cmes.2022.019509

Abstract

The simplified neutrosophic number (SNN) can represent uncertain, imprecise, incomplete, and inconsistent information that exists in scientific, technological, and engineering fields. Hence, it is a useful tool for describing truth, falsity, and indeterminacy information in multiple attribute decision-making (MADM) problems. To suit decision makers’ preference selection, the operational flexibility of aggregation operators shows its importance in dealing with the flexible decision-making problems in the SNN environment. To solve this problem, this paper develops the Aczel-Alsina aggregation operators of SNNs for MADM problems in view of the Aczel-Alsina operational flexibility. First, we define the Aczel-Alsina operations of SNNs. Then, the Aczel-Alsina aggregation operators of SNNs are presented based on the defined Aczel-Alsina operations of SNNs. Next, a MADM method is established using the proposed aggregation operators under the SNN environment. Lastly, an illustrative example about slope treatment scheme choices is provided to indicate the practicality and efficiency of the established method. By comparison with the existing relative MADM methods, the results show that the established MADM method can overcome the insufficiency of decision flexibility in the existing MADM methods and demonstrate the metric of flexible decision-making.

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APA Style
Yong, R., Ye, J., Du, S., Zhu, A., Zhang, Y. (2022). Aczel-alsina weighted aggregation operators of simplified neutrosophic numbers and its application in multiple attribute decision making. Computer Modeling in Engineering & Sciences, 132(2), 569-584. https://doi.org/10.32604/cmes.2022.019509
Vancouver Style
Yong R, Ye J, Du S, Zhu A, Zhang Y. Aczel-alsina weighted aggregation operators of simplified neutrosophic numbers and its application in multiple attribute decision making. Comput Model Eng Sci. 2022;132(2):569-584 https://doi.org/10.32604/cmes.2022.019509
IEEE Style
R. Yong, J. Ye, S. Du, A. Zhu, and Y. Zhang "Aczel-Alsina Weighted Aggregation Operators of Simplified Neutrosophic Numbers and Its Application in Multiple Attribute Decision Making," Comput. Model. Eng. Sci., vol. 132, no. 2, pp. 569-584. 2022. https://doi.org/10.32604/cmes.2022.019509



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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