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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/5015

Title: A new approach to belief modeling
Authors: Huynh, V.N.
Nakamori, Y.
Murai, T.
Ho, T.B.
Keywords: Transferable belief model
Uncertainty
Dempster-Shafer theory
Propagable belief model
Issue Date: 2004
Publisher: Springer
Magazine name: Lecture Notes in Computer Science
Volume: 2942
Start page: 196
End page: 212
Abstract: It has been shown that, despite the differences in approach and interpretation, all belief function based models without the so-called dynamic component lead essentially to mathematically equivalent theories - at least in the finite case. In this paper, we first argue that at the logical level these models seem to share a common formal framework and various interpretations just come at the epistemic level. We then introduce a framework for belief modeling formally based on Dempster’s structure with adopting Smets’ view of the origin of beliefs. It is shown that the proposed model is more general than previous models, and may provide a suitable unified framework for belief modeling.
Rights: This is the author-created version of Springer, V.N. Huynh, Y. Nakamori, T. Murai and T.B. Ho, Lecture Notes in Computer Science, 2942, 2004, 196-212. The original publication is available at www.springerlink.com.
URI: http://hdl.handle.net/10119/5015
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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