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Extending Dempster Shafer method by multilayer decision template in classifier fusion

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3 Author(s)
Haghighi, M.S. ; Dept. of Comput. Eng., Sadjad Institue for Higher Educ., Mashhad, Iran ; Vahedian, A. ; Yazdi, H.S.

In this paper, a new classifier fusion method is introduced based on a decision template structure as an extension to Dempster Shafer method. It employs multilayer neural networks as base classifiers. The idea relies on the fact that in a multilayer neural network, behavior of each layer can be a guide for modeling decision-making process. The new decision template based method constructs decision template for each layer of the neural networks including all hidden layers such that a complete model of the base classifiers decision making process is built. In the combiner part, a new strategy based on extension to Dempster Shafer method is introduced. Efficiency of this method is compared with some known benchmark datasets.

Published in:

Information Assurance and Security (IAS), 2011 7th International Conference on

Date of Conference:

5-8 Dec. 2011