DocumentCode :
833480
Title :
Learning weights for the quasi-weighted means
Author :
Torra, Vicenç
Author_Institution :
Inst. d´´Investigacio en Intelligencia Artificial, CSIC, Barcelona, Spain
Volume :
10
Issue :
5
fYear :
2002
fDate :
10/1/2002 12:00:00 AM
Firstpage :
653
Lastpage :
666
Abstract :
We study the determination of weights for quasi-weighted means (also called quasi-linear means) when a set of examples is given. We consider first a simple case, the learning of weights for weighted means, and then we extend the approach to the more general case of a quasi-weighted mean. We consider the case of a known arbitrary generator f. The paper finishes considering the use of parametric functions that are suitable when the values to aggregate are measure values or ratio.
Keywords :
learning (artificial intelligence); matrix algebra; minimisation; learning; measure values; parametric functions; quasi-linear means; quasi-weighted means; ratio values; Aggregates; Artificial intelligence; Environmental economics; Fusion power generation; Intelligent robots; Knowledge based systems; Knowledge representation; Learning;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2002.803498
Filename :
1038820
Link To Document :
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