Approximation of membership functions and aggregation operators using splines
Technologies for constructing intelligent systems
Efficient andness-directed importance weighted averaging operators
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Intelligent information systems
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Computers and Industrial Engineering
An introduction to fuzzy answer set programming
Annals of Mathematics and Artificial Intelligence
Parameterized defuzzification with continuous weighted quasi-arithmetic means - An extension
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On efficient WOWA optimization for decision support under risk
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Forecasting of ozone concentration using frequency MA-OWA model
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Expert Systems with Applications: An International Journal
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
On optimization of the importance weighted OWA aggregation of multiple criteria
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Soft querying of standard and uncertain databases
IEEE Transactions on Fuzzy Systems
A unified model between the weighted average and the induced OWA operator
Expert Systems with Applications: An International Journal
Uncertain induced aggregation operators and its application in tourism management
Expert Systems with Applications: An International Journal
Importance weighting and andness control in De Morgan dual power means and OWA operators
Fuzzy Sets and Systems
Probabilities in the OWA operator
Expert Systems with Applications: An International Journal
The probabilistic weighted average and its application in multiperson decision making
International Journal of Intelligent Systems
Mathematical and Computer Modelling: An International Journal
Determination of Ordered Weighted Averaging Operator Weights Based on the M-Entropy Measures
International Journal of Intelligent Systems
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
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Ordered weighted averaging (OWA) operators are described and are shown to provide a general class of parameterized aggregation operators that include the max, min, and average. We suggest an approach to the inclusion of importances in the OWA operator aggregation technique. The methodology suggested involves a transformation of the scores to be aggregated by their respective importances. We show how we can construct transformation functions with the aid of the fuzzy modeling technology