4.5 Article

Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator

Journal

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s13042-015-0385-y

Keywords

Multiple attribute decision making; Normal neutrosophic numbers; Normal neutrosophic power aggregation operator

Funding

  1. National Natural Science Foundation of China [71471172, 71271124]
  2. Humanities and Social Sciences Research Project of Ministry of Education of China [13YJC630104]
  3. Shandong Provincial Social Science Planning Project [13BGLJ10]
  4. national soft science research project [2014GXQ4D192]
  5. Graduate education innovation projects in Shandong Province [SDYY12065]

Ask authors/readers for more resources

Normal neutrosophic numbers (NNNs) are an important tool to describe the decision making problems, and they are more appropriate to express the incompleteness, indeterminacy and inconsistency of the evaluation information. In this paper, we firstly introduce the definition, the properties, the score function, the accuracy function, and the operational laws of the NNNs. Then, some operators are proposed, such as the normal neutrosophic power averaging operator, the normal neutrosophic weighted power averaging operator, the normal neutrosophic power geometric operator, the normal neutrosophic weighted power geometric operator, the normal neutrosophic generalized power averaging operator, the normal neutrosophic generalized weighted power averaging (NNGWPA) operator. Furthermore, some properties of them are discussed. Thirdly, we propose a multiple attribute decision making method based on the NNGWPA operator. Finally, we use an illustrative example to demonstrate the practicality and effectiveness of the proposed 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

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available