Sensitivity analysis of an information fusion tool: OWA operator

Mahdi Zarghaami; Reza Ardakanian; Ferenc Szidarovszky

doi:10.1117/12.722323

9 April 2007 Sensitivity analysis of an information fusion tool: OWA operator

Mahdi Zarghaami, Reza Ardakanian, Ferenc Szidarovszky

Proceedings Volume 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007; 65710P (2007) https://doi.org/10.1117/12.722323
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Mahdi Zarghaami, Reza Ardakanian, and Ferenc Szidarovszky "Sensitivity analysis of an information fusion tool: OWA operator", Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710P (9 April 2007); https://doi.org/10.1117/12.722323

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