On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Sets and Systems
On the issue of obtaining OWA operator weights
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Dependent uncertain ordered weighted aggregation operators
Information Fusion
Expert Systems with Applications: An International Journal
A new evaluation model for intellectual capital based on computing with linguistic variable
Expert Systems with Applications: An International Journal
The induced generalized OWA operator
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Evaluating new product development performance by fuzzy linguistic computing
Expert Systems with Applications: An International Journal
Induced aggregation operators in decision making with the Dempster-Shafer belief structure
International Journal of Intelligent Systems
A method for group decision-making based on multi-granularity uncertain linguistic information
Expert Systems with Applications: An International Journal
Fuzzy decision making with immediate probabilities
Computers and Industrial Engineering
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Expert Systems with Applications: An International Journal
Knowledge and Information Systems
FIOWHM operator and its application to multiple attribute group decision making
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Grey relational analysis model for dynamic hybrid multiple attribute decision making
Knowledge-Based Systems
Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Computers and Industrial Engineering
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Multi-criteria group decision making method based on intuitionistic linguistic aggregation operators
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A multi-risks group evaluation method for the informatization project under linguistic environment
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.05 |
We investigate the multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of 2-tuple linguistic information. Motivated by the ideal of dependent aggregation [Xu, Z. S. (2006). Dependent OWA operators. Lecture Notes in Artificial Intelligence, 3885, 172-178], in this paper, we develop some dependent 2-tuple linguistic aggregation operators: the dependent 2-tuple ordered weighted averaging (D2TOWA) operator and the dependent 2-tuple ordered weighted geometric (D2TOWG) operator, in which the associated weights only depend on the aggregated 2-tuple linguistic arguments and can relieve the influence of unfair 2-tuple linguistic arguments on the aggregated results by assigning low weights to those ''false'' and ''biased'' ones and then apply them to develop some approaches for multiple attribute group decision making with 2-tuples linguistic information. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness.