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Identification of weights in aggregation operators

chapter
posted on 2008-01-01, 00:00 authored by T Calvo, Gleb BeliakovGleb Beliakov
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.

History

Pagination

145-162

ISBN-13

9783540737223

ISBN-10

3540737227

Language

eng

Publication classification

B1 Book chapter, B Book chapter

Copyright notice

2008, Springer

Extent

34

Editor/Contributor(s)

Bustince H, Herrera F, Montero J

Publisher

Springer

Place of publication

Berlin, Germany

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

Series

Studies in fuzziness and soft computing ; 220

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