DocumentCode :
1909852
Title :
A new mass functions assignment in the Dempster-Shafer theory : the fuzzy statistical approach
Author :
Germain, M. ; Boucher, J.-M. ; Benie, G.B.
Author_Institution :
Ecole Nat. Super. des Telecommun. de Bretagne, Brest
fYear :
2008
fDate :
12-15 May 2008
Firstpage :
825
Lastpage :
829
Abstract :
This paper describes a new analysis of the evidential reasoning based on the fuzzy statistical approach. The evidential reasoning uses the Dempster-Shafer (DS) theory with a new approach to assign the mass functions. We test the proposed method on a basic simulated noisy fuzzy image composed on three pure classes, and we compare the mass functions representation with standard statistical methods and fuzzy methods. For a real study, we apply the new data fusion process to remote sensing data fusion.
Keywords :
case-based reasoning; fuzzy set theory; inference mechanisms; sensor fusion; statistical analysis; Dempster-Shafer theory; data fusion process; evidential reasoning; fuzzy statistical approach; mass functions assignment; remote sensing data fusion; simulated noisy fuzzy image; Algorithm design and analysis; Bayesian methods; Data analysis; Fuzzy reasoning; Instrumentation and measurement; Remote sensing; Statistical analysis; Stochastic processes; Testing; Uncertainty; Dempster-Shafer theory; Evidential reasoning; data fusion; fuzzy statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
Conference_Location :
Victoria, BC
ISSN :
1091-5281
Print_ISBN :
978-1-4244-1540-3
Electronic_ISBN :
1091-5281
Type :
conf
DOI :
10.1109/IMTC.2008.4547151
Filename :
4547151
Link To Document :
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