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Identification of weights in aggregation operators
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.
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Title of book
Fuzzy sets and their extensions: representation, aggregation and models : intelligent systems from decision making to data mining, web intelligence and computer visionSeries
Studies in fuzziness and soft computing ; 220Pagination
145 - 162Publisher
SpringerPlace of publication
Berlin, GermanyISBN-13
9783540737223ISBN-10
3540737227Language
engPublication classification
B1 Book chapter; B Book chapterCopyright notice
2008, SpringerExtent
34Editor/Contributor(s)
H Bustince, F Herrera, J MonteroUsage metrics
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