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Identification of general and double aggregation operators using monotone smoothing

Beliakov, Gleb and Calvo, Tomasa 2005, Identification of general and double aggregation operators using monotone smoothing, in EUSFLAT 2005 : Proceedings of the Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Rencontres Francophones sur la Logique Floue et ses Applications, EUSFLAT, Barcelona, Spain, pp. 937-942.

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Title Identification of general and double aggregation operators using monotone smoothing
Author(s) Beliakov, Gleb
Calvo, Tomasa
Conference name European Society for Fuzzy Logic and Technology and 11 Rencontres Francophones sur la Logique Floue et ses Applications (4th : 2005, Barcelona)
Conference location Barcelona, Spain
Conference dates 7-9 Sept. 2005
Title of proceedings EUSFLAT 2005 : Proceedings of the Fourth Conference of the European Society for Fuzzy Logic and Technology and 11 Rencontres Francophones sur la Logique Floue et ses Applications
Editor(s) Sobrevilla, P.
Montseny, E.
Publication date 2005
Conference series European Society for Fuzzy Logic and Technology Conference
Start page 937
End page 942
Publisher EUSFLAT
Place of publication Barcelona, Spain
Keyword(s) aggregation operators
empirical fit
monotone approximation
Summary Aggregation operators model various operations on fuzzy sets, such as conjunction, disjunction and averaging. Recently double aggregation operators have been introduced; they model multistep aggregation process. The choice of aggregation operators depends on the particular problem, and can be done by fitting the operator to empirical data. We examine fitting general aggregation operators by using a new method of monotone Lipschitz smoothing. We study various boundary conditions and constraints which determine specific types of aggregation.
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Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005, EUSFLAT
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005743

Document type: Conference Paper
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.