@Article{cmes.2022.019509,
AUTHOR = {Rui Yong, Jun Ye, Shigui Du, Aqin Zhu, Yingying Zhang},
TITLE = {Aczel-Alsina Weighted Aggregation Operators of Simplified Neutrosophic Numbers and Its Application in Multiple Attribute Decision Making},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {132},
YEAR = {2022},
NUMBER = {2},
PAGES = {569--584},
URL = {http://www.techscience.com/CMES/v132n2/48309},
ISSN = {1526-1506},
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.},
DOI = {10.32604/cmes.2022.019509}
}