4.6 Article

The multi-attribute group decision-making method based on the interval grey uncertain linguistic generalized hybrid averaging operator

Journal

NEURAL COMPUTING & APPLICATIONS
Volume 26, Issue 6, Pages 1395-1405

Publisher

SPRINGER LONDON LTD
DOI: 10.1007/s00521-014-1814-7

Keywords

Multi-attribute group decision-making; Fuzzy set; Grey fuzzy number; Interval grey uncertain linguistic variables; 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. National Soft Science Project [2014GXQ4D192]
  4. graduate education innovation projects in Shandong Province [SDYY12065]

Ask authors/readers for more resources

With respect to the multi-attribute group decision-making (MAGDM) problems with the interval grey uncertain linguistic variables (IGULVs), the MAGDM method based on the interval grey uncertain linguistic generalized hybrid averaging (IGULGHA) operator is proposed. Firstly, the operation rules, the properties and the comparing method of the IGUVs are introduced. Then, some aggregation operators such as interval grey uncertain linguistic generalized ordered weighted aggregation (IGULGOWA) operator and interval grey uncertain linguistic generalized hybrid aggregation (IGULGHA) operator are defined, and some properties such as idempotency, commutativity, monotonicity and boundedness are proved, and then, the decision-making methods based on these operators are presented to solve the group decision-making problems. Finally, a numerical example is used to show the proposed method, and the influence of the different position weight vector w and the different parameter lambda on decision-making is analysed. The result shows that the method is simple and effective.

Authors

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

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available