Journal
INFORMATION SCIENCES
Volume 181, Issue 15, Pages 3199-3209Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2011.02.010
Keywords
Uncertainty; Multi-source fusion; Dempster-Shafer; Normalization
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Our interest is in the fusion of information from multiple sources when the information provided by the individual sources is expressed in terms of an imprecise uncertainty measure. We observe that the Dempster-Shafer belief structure provides a framework for the representation of a wide class of imprecise uncertainty measures. We then discuss the fusion of multiple Dempster-Shafer belief structures using the Dempster rule and note the problems that can arise when using this fusion method because of the required normalization in the face of conflicting focal elements. We then suggest some alternative approaches fusing multiple belief structures that avoid the need for normalization. (C) 2011 Elsevier Inc. All rights reserved.
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