MAGDM Technique Based on Linguistic Neutrosophic Tangent Dombi Aggregation Operators and Its Application in Selecting New Energy Design Schemes

Abstract

In linguistic decision theory, multi-attribute group decision-making (MAGDM) of 
linguistic neutrosophic numbers (LNNs) is one of the crucial research topics. Existing LNN 
aggregation algorithms do not consider trigonometric periodicity. In this case, they cannot perform 
MAGDM problems including periodic/multitemporal applications in LNN scenarios. To fill this 
gap, this article aims to present a MAGDM technique using the LNN tangent Dombi aggregation 
operators (TDAOs) for addressing MAGDM issues including multitemporal/periodic applications 
in LNN scenarios. First, we present the linguistic tangent Dombi t-norm and t-conorm and the LNN 
tangent Dombi operation laws. Second, we propose the LNN tangent Dombi weighted average and 
geometric operators and investigate their properties. Third, a MAGDM technique is built based on 
the two presented operators to tackle MAGDM problems in a LNN scenario. Lastly, the built 
MAGDM technique is applied to a choice of new energy design schemes in Ningbo City, China, and 
then its efficiency and appropriateness are verified by comparing with the existing MAGDM 
technique in the LNN scenario.

DOI: 10.5281/zenodo.13172960