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Identification of weights in aggregation operators

Calvo, Tomasa and Beliakov, Gleb 2008, Identification of weights in aggregation operators, in Fuzzy sets and their extensions: representation, aggregation and models : intelligent systems from decision making to data mining, web intelligence and computer vision, Springer, Berlin, Germany, pp.145-162.

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Title Identification of weights in aggregation operators
Author(s) Calvo, Tomasa
Beliakov, Gleb
Title of book Fuzzy sets and their extensions: representation, aggregation and models : intelligent systems from decision making to data mining, web intelligence and computer vision
Editor(s) Bustince, Humberto
Herrera, Francisco
Montero, Javier
Publication date 2008
Series Studies in fuzziness and soft computing ; 220
Total chapters 34
Start page 145
End page 162
Total pages 18
Publisher Springer
Place of Publication Berlin, Germany
Summary This chapter provides a review of various techniques for identification of weights in generalized mean and ordered weighted averaging aggregation operators, as well as identification of fuzzy measures in Choquet integral based operators. Our main focus is on using empirical data to compute the weights. We present a number of practical algorithms to identify the best aggregation operator that fits the data.
ISBN 9783540737223
3540737227
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
HERDC collection year 2008
Copyright notice ©2008, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30016937

Document type: Book Chapter
Collection: School of Information Technology
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