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How to build aggregation operators from data

Beliakov, Gleb 2003, How to build aggregation operators from data, International journal of intelligent systems, vol. 18, no. 8, pp. 903-923.

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Title How to build aggregation operators from data
Author(s) Beliakov, Gleb
Journal name International journal of intelligent systems
Volume number 18
Issue number 8
Start page 903
End page 923
Publisher Wiley
Place of publication New York, NY
Publication date 2003
ISSN 0884-8173
Summary This article discusses a range of regression techniques specifically tailored to building aggregation operators from empirical data. These techniques identify optimal parameters of aggregation operators from various classes (triangular norms, uninorms, copulas, ordered weighted aggregation (OWA), generalized means, and compensatory and general aggregation operators), while allowing one to preserve specific properties such as commutativity or associativity. © 2003 Wiley Periodicals, Inc.
Notes Published in International Journal of Intelligent Systems 18 (8) , pp.903-923 at www.interscience.wiley.com
Language eng
Field of Research 020599 Optical Physics not elsewhere classified
Socio Economic Objective 970102 Expanding Knowledge in the Physical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2003, Wiley Periodicals
Persistent URL http://hdl.handle.net/10536/DRO/DU:30001881

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.