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Induced ordered weighted averaging operators

Beliakov, Gleb and James, Simon 2011, Induced ordered weighted averaging operators, in Recent developments in the ordered weighted averaging operators : theory and practice, Springer-Verlag, Berlin, Germany, pp.29-47.

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Title Induced ordered weighted averaging operators
Author(s) Beliakov, Gleb
James, Simon
Title of book Recent developments in the ordered weighted averaging operators : theory and practice
Editor(s) Yager, Ronald R.
Kacprzyk, Janusz
Beliakov, Gleb
Publication date 2011
Series Studies in fuzziness and soft computing; v. 265
Chapter number 3
Total chapters 15
Start page 29
End page 47
Total pages 19
Publisher Springer-Verlag
Place of Publication Berlin, Germany
Keyword(s) ordered weighted averaging operator
OWA
Summary Since the introduction of the ordered weighted averaging operator [18], the OWA has received great attention with applications in fields including decision making, recommender systems [8, 21], classification [10] and data mining [16] among others. The most important step in the calculation of the OWA is the permutation of the input vector according to the size of its arguments. In some applications, it makes sense that the inputs be reordered by values different to those used in calculation. For instance, if we have a number of mobile sensor readings, we may wish to allocate more importance to the reading taken from the sensor closest to us at a given point in time, rather than the largest reading.
ISBN 9783642179099
9783642179105
ISSN 1434-9922
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 B1 Book chapter
Copyright notice ©2011, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30043129

Document type: Book Chapter
Collection: School of Information Technology
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