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