On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Induced aggregation operators in decision making with the Dempster-Shafer belief structure
International Journal of Intelligent Systems
Hybrid Harmonic Averaging Operator and its Application to Decision Making
SSME '09 Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering
Fuzzy decision making with immediate probabilities
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Knowledge and Information Systems
Induced and uncertain heavy OWA operators
Computers and Industrial Engineering
Decision-making with distance measures and induced aggregation operators
Computers and Industrial Engineering
FIOWHM operator and its application to multiple attribute group decision making
Expert Systems with Applications: An International Journal
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
| Hi-index | 0.00 |
In this paper, we have studied the Dempster-Shafer theory of evidence in situations of decision making with linguistic information and we develop a new aggregation operator: belief structure generalized linguistic hybrid averaging (BS-GLHA) operator and a wide range of particular cases. we have developed the new decision making model with Dempster-Shafer belief structure that uses linguistic information in order to manage uncertain situations that cannot be managed in a probabilistic way. We have seen that all these approaches are very useful for representing the new approaches in a more complete way selecting for each situation the particular case that it is closest to our interests in the specific problem analyzed. Finally, a numerical example is used to illustrate the applicability and effectiveness of the proposed method. We have pointed out that the results and decisions are dependent on the linguistic aggregation operator used in the decision making process.