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Proceedings Paper

Sensitivity analysis of an information fusion tool: OWA operator
Author(s): Mahdi Zarghaami; Reza Ardakanian; Ferenc Szidarovszky
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Paper 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.

Paper Details

Date Published: 9 April 2007
PDF: 8 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710P (9 April 2007); doi: 10.1117/12.722323
Show Author Affiliations
Mahdi Zarghaami, Sharif Univ. of Technology (Iran)
Univ. of Arizona (United States)
Reza Ardakanian, Sharif Univ. of Technology (Iran)
Ferenc Szidarovszky, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)

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