DocumentCode
837427
Title
An Empirical Study of Statistical Properties of the Choquet and Sugeno Integrals
Author
Grabisch, Michel ; Raufaste, Eric
Author_Institution
Centre d´´Economie de la Sorbonne (CES), Univ. de Paris I Pantheon-Sorbonne, Paris
Volume
16
Issue
4
fYear
2008
Firstpage
839
Lastpage
850
Abstract
This paper investigates the statistical properties of the Choquet and Sugeno integrals, used as multiattribute models. The investigation is done on an empirical basis, and focuses on two topics: the distribution of the output of these integrals when the input is corrupted with noise, and the robustness of these models when they are identified using some set of learning data through some learning procedure.
Keywords
integral equations; learning (artificial intelligence); statistical analysis; Choquet integral; Sugeno integral; fuzzy integral; learning data; multiattribute model; statistical property; Arithmetic; Decision making; Gaussian noise; Helium; Image processing; Noise measurement; Noise robustness; Open wireless architecture; Pattern classification; Regression analysis;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/TFUZZ.2008.917295
Filename
4601108
Link To Document