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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.859598
