DocumentCode
352519
Title
The Dempster-Shafer combination rule as a tool to classifier combination
Author
Ahmadzadeh, Mohammad Reza ; Petron, M. ; Sasikala, K.R.
Author_Institution
Sch. of Electron. Eng., Surrey Univ., Guildford, UK
Volume
6
fYear
2000
fDate
2000
Firstpage
2429
Abstract
In this paper we present Dempster-Shafer theory as a framework within which the results of a Bayesian and a fuzzy classifier can be combined to produce a better final classification. We deal with the case when the two original classifiers use different classes for the outcome, and we also present a method by which different reliability is associated with different expert rules used
Keywords
Bayes methods; fuzzy logic; geomorphology; geophysical signal processing; pattern classification; remote sensing; soil; Bayesian classifier; Dempster-Shafer combination rule; classifier combination; expert rules; fuzzy classifier; reliability; Bayesian methods; Electronic mail; Fuzzy logic; Ground support; Information technology; Mathematics; Permeability; Remote sensing; Soil; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.859598
Filename
859598
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