Abstract
In this paper, the multiple attribute decision-making problems in which the attribute values take the form of q-rung orthopair cubic fuzzy sets (qRCOFSs) are investigated. Firstly, the definition of qROCFSs and some operational laws of qROCFSs are proposed. Then, a family of q-rung orthopair cubic fuzzy maclaurin symmetric mean aggregation operators are developed, such as the q-rung orthopair cubic fuzzy maclaurin symmetric mean (q-ROCFMSM) operator, the q-rung orthopair cubic fuzzy weighted maclaurin symmetric mean (q-ROCFWMSM) operator, the q-rung orthopair cubic fuzzy dual maclaurin symmetric mean (q-ROCFDMSM) operator, the q-rung orthopair cubic fuzzy weighted dual maclaurin symmetric mean (q-ROCFWDMSM) operator. And the properties and special cases of these proposed operators are studied. Furthermore, an approach based on the q-ROCFWMSM operator and the q-ROCFWDMSM operator is proposed for multiple attribute decision-making problems under q-rung orthopair cubic fuzzy environment. Finally, a numerical example and comparative analysis is given to illustrate the application of the proposed approach.
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Acknowledgements
This article was supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No.KJQN201901505).
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This article was supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN201901505), Key Project of humanities and social sciences research of Chongqing Municipal Education Commission in 2022(Grant No:22SKGH432), Key Project of humanities and social sciences research of Chongqing Municipal Education Commission in 2022(Grant No:22SKGH428).
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Yu, Q., Cao, J., Tan, L. et al. Multiple attribute decision-making based on maclaurin symmetric mean operators on q-rung orthopair cubic fuzzy sets. Soft Comput 26, 9953–9977 (2022). https://doi.org/10.1007/s00500-022-07363-7
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DOI: https://doi.org/10.1007/s00500-022-07363-7