Credal classification rule for uncertain data based on belief functions

In this paper we present a new credal classification rule (CCR) based on belief functions to deal with the uncertain data. CCR allows the objects to belong (with different masses of belief) not only to the specific classes, but also to the sets of classes called meta-classes which correspond to the...

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Vydané v:	Pattern recognition Ročník 47; číslo 7; s. 2532 - 2541
Hlavní autori:	Liu, Zhun-ga, Pan, Quan, Dezert, Jean, Mercier, Grégoire
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier Ltd 01.07.2014 Elsevier
Predmet:	Applied sciences Artificial intelligence Belief functions Classification Computation Computer science; control theory; systems Credal classification Data classification Data processing. List processing. Character string processing Engineering Sciences Evidence theory Exact sciences and technology Information theory Information, signal and communications theory Learning and adaptive systems Mathematical analysis Mathematical models Memory organisation. Data processing Noise Pattern recognition Prototypes Signal and Image processing Software Telecommunications and information theory Uncertain data Credal classification Data classification Belief functions Evidence theory Uncertain data Belief Data analysis Statistical analysis Prototype Expert system Knowledge base Multivariate analysis Indistinguishability Outlier Disjunction Uncertain system Classification Dempster Shafer theory Metric Proof theory Mahalanobis distance
ISSN:	0031-3203, 1873-5142
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