On the WOWA operator and its interpolation function

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2009 English Publisher:WileyJournal:International Journal of Intelligent Systems, volume 24, pages 1,039-1,056 (issn: 0884-8173, eissn: 1098-111X,

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Authors: Vicenç Torra; Zhenbang Lv;

doi: 10.1002/int.20371

handle: 10261/161160

On the WOWA operator and its interpolation function

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Abstract

The weighted ordered weighted averaging (WOWA) operator is one of the existing aggregation methods that can be used to fuse numerical data. The application of this operator to a set of data requires an interpolation function. In this paper, we present a few results about the sensitivity of the operator according to the interpolation method used. © 2009 Wiley Periodicals, Inc.

Partial support by the Generalitat de Catalunya (2005 SGR 00446 and 2005-SGR-00093) and by the Spanish MEC (projects ARES: CONSOLIDER INGENIO 2010 CSD2007-00004 and eAEGIS: TSI2007-65406-C03-02) is acknowledged.

Peer Reviewed

Related Organizations

Spanish National Research Council
Spain
Xidian University
China (People's Republic of)
Research Institute for Artificial Intelligence
Spain

Keywords

Interpolation method, Aggregation methods, Numerical data, Ordered weighted averaging, Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.), Interpolation function, Interpolation

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