4.4 Article

EDAS method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment

Journal

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume 37, Issue 2, Pages 1597-1608

Publisher

IOS PRESS
DOI: 10.3233/JIFS-179223

Keywords

MADM problems; 2-tuple linguistic neutrosophic sets (2TLNSs); EDAS model; 2-tuple linguistic neutrosophic number Hamacher weighted average (2TLNNHWA) operators; 2-tuple linguistic neutrosophic number Hamacher weighted geometric (2TLNNHWG) operators; 2TLNNs EDAS model; construction project

Funding

  1. National Natural Science Foundation of China [71571128]

Ask authors/readers for more resources

In this paper, we present 2-tuple linguistic neutrosophic EDAS model based on traditional EDAS (Evaluation based on Distance from Average Solution) model and some fundamental theories of 2-tuple linguistic neutrosophic information. Firstly, we briefly review the definition of 2-tuple linguistic neutrosophic sets (2TLNNSs) and introduce the score function, accuracy function and operational laws of 2TLNNs. Next, to fuse overall 2-tuple linguistic neutrosophic evaluation information, we define some new aggregation operators of 2TLNNs based on Hamacher product and sum to propose 2TLNNHWA and 2TLNNHWG operators. Furthermore, combine traditional EDAS model with 2TLNNs information, the 2-tuple linguistic neutrosophic EDAS model is established and all computing steps are simply depicted. In our presented model; it's more accuracy and effective for considering the conflicting attributes. Finally, a numerical example for safety assessment of construction project has been given to illustrate this new model and some comparisons between 2TLNNs EDAS model and 2TLNNWA, 2TLNNWG, 2TLNNHWA, 2TLNNHWG aggregation operators are also conducted to further illustrate advantages of the new method.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available