DocumentCode :
293497
Title :
Adaptive aggregation: decomposing before combining
Author :
Deveughele, Stephane ; Dubuisson, B.
Author_Institution :
URA CNRS, Compiegne, France
Volume :
3
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
1589
Abstract :
We deal with the problem of uncertain information combination through the framework of possibility theory. We focus our interest on an adaptive combination rule, that is the applied combination mode adapts itself to the amount of conflict existing between different measures. Before combining two possibility distributions, we decompose each of them over simpler basic forms and we establish two new formulations of this adaptive rule
Keywords :
adaptive systems; fuzzy systems; information theory; possibility theory; uncertainty handling; adaptive aggregation; adaptive combination rule; decomposition; possibility distributions; possibility theory; uncertain information combination; Computer vision; Information analysis; Measurement uncertainty; Possibility theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409890
Filename :
409890
Link To Document :
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