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A belief classification rule for imprecise data

✍ Scribed by Zhun-ga Liu, Quan Pan, Jean Dezert


Book ID
120963201
Publisher
Springer US
Year
2013
Tongue
English
Weight
768 KB
Volume
40
Category
Article
ISSN
0924-669X

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In the classical neuron model, inputs are continuous real-valued quantities. However, in many important domains from the real world, objects are described by a mixture of continuous and discrete variables, usually containing missing information and uncertainty. In this paper, a general class of neur