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How to build aggregation operators from data

✍ Scribed by G. Beliakov


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
137 KB
Volume
18
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

✦ Synopsis


This article discusses a range of regression techniques specifically tailored to building aggregation operators from empirical data. These techniques identify optimal parameters of aggregation operators from various classes (triangular norms, uninorms, copulas, ordered weighted aggregation (OWA), generalized means, and compensatory and general aggregation operators), while allowing one to preserve specific properties such as commutativity or associativity.


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