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Non-monotone averaging aggregation

Beliakov, Gleb, Yu, Shui and Paternain, Daniel 2011, Non-monotone averaging aggregation, in FUZZ 2011 : IEEE International Conference on Fuzzy Systems, IEEE, [Taipei, Taiwan], pp. 2905-2908.

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Title Non-monotone averaging aggregation
Author(s) Beliakov, Gleb
Yu, Shui
Paternain, Daniel
Conference name IEEE International Conference on Fuzzy Systems (2011 : Taipei, Taiwan)
Conference location Taipei, Taiwan
Conference dates 27-30 Jun. 2011
Title of proceedings FUZZ 2011 : IEEE International Conference on Fuzzy Systems
Editor(s) [Unknown]
Publication date 2011
Conference series IEEE International Conference on Fuzzy Systems
Start page 2905
End page 2908
Publisher IEEE
Place of publication [Taipei, Taiwan]
Keyword(s) aggregation operator
estimators of location
outliers
penalty function
Summary We advance the theory of aggregation operators and introduce non-monotone aggregation methods based on minimization of a penalty for inputs disagreements. The application in mind is processing data sets which may contain noisy values. Our aim is to filter out noise while at the same time preserve signs of unusual values. We review various methods of robust estimators of location, and then introduce a new estimator based on penalty minimisation.
ISBN 9781424473175
9781424473168
9781424473151
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
080201 Analysis of Algorithms and Complexity
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2011
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042199

Document type: Conference Paper
Collection: School of Information Technology
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