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
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
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Choosing OWA operator weights in the field of Social Choice
Information Sciences: an International Journal
Dependent uncertain ordered weighted aggregation operators
Information Fusion
A general model of parameterized OWA aggregation with given orness level
International Journal of Approximate Reasoning
Dependent uncertain linguistic OWA operator
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
LESSON: A system for lecture notes searching and sharing over Internet
Journal of Systems and Software
Nearest-neighbor guided evaluation of data reliability and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Models to determine parameterized ordered weighted averaging operators using optimization criteria
Information Sciences: an International Journal
Journal of Computer and System Sciences
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Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, and study some of its desirable properties. The prominent characteristic of this dependent OWA operator is that it can relieve the influence of unfair arguments on the aggregated results. Finally, we give an example to illustrate the developed operator.