The successful design and application of the Ordered Weighted Averaging (OWA) method as a decision making tool
depend on the efficient computation of its order weights. The most popular methods for determining the order weights
are the Fuzzy Linguistic Quantifiers approach and the Minimal Variability method which give different behavior patterns
for OWA. These methods will be compared by using Sensitivity Analysis on the outputs of OWA with respect to the
optimism degree of the decision maker.
The theoretical results are illustrated in a water resources management problem. The Fuzzy Linguistic Quantifiers
approach gives more information about the behavior of the OWA outputs in comparison to the Minimal Variability
method. However, in using the Minimal Variability method, the OWA has a linear behavior with respect to the optimism
degree and therefore it has better computation efficiency.
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