Novel operations for linguistic neutrosophic sets on the basis of Archimedean copulas and co-copulas and their application in multi-criteria decision-making problems
Affiliations: [a] School of Business, Central South University, Changsha, PR China | [b] School of Business, Hunan University, Changsha, PR China | [c] College of Management, Shenzhen University, Shenzhen, PR China
Correspondence:
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Corresponding author. H. Luo College of Management, Shenzhen University, Shenzhen 518060, PR China. E-mail: hanyang@szu.edu.cn and J. Wang, School of Business, Central South University, Changsha 410083, PR China. E-mail: jqwang@csu.edu.cn.
Abstract: Operations for linguistic neutrosophic numbers (LNNs) have been receiving considerable attention. Existing LNNs operations are generally based upon Archimedean triangular norm and triangular conorm. However, the existing operations fail to consider the correlation among variables. Archimedean copulas and co-copulas can not only reveal the correlation among variables but also prevent information loss when they are used as aggregation functions in the aggregation process. Here, LNN operations are redefined based on Archimedean copulas and co-copulas. Meanwhile, some specific cases are discussed. Then, a linguistic neutrosophic improved generalized weighted Choquet Heronian mean operator is developed. According to the proposed operator, a multi-criteria decision-making method is proposed to tackle the selection problem of low-carbon suppliers. The influences of different generated functions and parameters are discussed, and the feasibility of the proposed method are validated through comparative analyses.
Keywords: Linguistic neutrosophic sets, multiple criteria decision-making, Archimedean
copulas and co-copulas, linguistic neutrosophic improved generalized weighted Choquet Heronian mean operator
