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Induced ordered weighted averaging operators
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.
History
Title of book
Recent developments in the ordered weighted averaging operators : theory and practiceSeries
Studies in fuzziness and soft computing; v. 265Chapter number
3Pagination
29 - 47Publisher
Springer-VerlagPlace of publication
Berlin, GermanyISSN
1434-9922ISBN-13
9783642179105ISBN-10
364217910XLanguage
engPublication classification
B1 Book chapterCopyright notice
2011, Springer-VerlagExtent
15Editor/Contributor(s)
R Yager, J Kacprzyk, G BeliakovUsage metrics
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