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On modal logic interpretation of Dempster–Shafer theory of evidence
International Journal of Intelligent Systems, 1994Summary: This article further develops one branch of research initiated in an article by \textit{G. Resconi}, \textit{G. J. Klir} and \textit{U. St. Clair}, Int. J. Gen. Syst., 21, No. 1, 23-50 (1992; Zbl 0767.03008) and continued in another article by the same authors [Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems, 1, No. 1, 1-18 (1993)].
David Harmanec +2 more
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Expert finding by the Dempster‐Shafer theory for evidence combination
Expert Systems, 2017AbstractThe expertise of human experts can be formally extracted from their written documents, research projects, and everyday activities. The process whereby experts are recognized according to their activities is called expert finding. In this paper, we propose an approach to identify the experts in a given field according to the content of 3 easily ...
Nafiseh Torkzadeh Mahani +4 more
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Association Rules and Dempster-Shafer Theory of Evidence
2003The standard definitions of confidence for association rules was proposed by Agrawal et al. based on the idea that co-occurrences of items in one transaction are evidence for association between the items. Since such definition of confidence is nothing but a conditional probability, even weights are a priori assigned to each transaction that contains ...
Tetsuya Murai +2 more
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The indoor NLOS identification on dempster-shafer evidence theory
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016Indoor localization system based on received signal strength (RSS) often operate under non-line-of-sight (NLOS) conditions that can cause ranging errors. To identify non-line-of-sight status and line-of-sight (LOS) status and improve the accuracy of indoor localization, a D-S evidence theory based NLOS identification algorithm was proposed.
Shang Li, Zhaopeng Meng, Chung-Ming Own
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Emotion recognition model based on the Dempster–Shafer evidence theory
Journal of Electronic Imaging, 2020Automatic emotion recognition for video clips has become a popular area of research in recent years. Previous studies have explored emotion recognition methods through monomodal approaches, such as voice, text, facial expression, and physiological information.
Qihua Xu, Chunyue Zhang, Bo Sun 0006
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Combining nonspecificity measures in Dempster–Shafer theory of evidence
International Journal of General Systems, 2011In Dempster–Shafer theory (DST) of evidence coexist two types of uncertainty: conflict and nonspecificity. The maximum of entropy is a total uncertainty measure that verifies an important set of properties in this theory. We prove that this function has a fault of sensibility to changes in evidence in situations where only the part of nonspecificity is
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Information Retrieval and Dempster-Shafer’s Theory of Evidence
1998This paper describes the use of the Dempster-Shafer theory of evidence to construct an information retrieval model that aims to capture four essential features of information: structure, significance, uncertainty and partiality. We show that Dempster-Shafer’s initial framework allows the representation of the structure and the significance of ...
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Situation Theory and Dempster-Shafer’s Theory of Evidence for Information Retrieval
1994We propose a model of information retrieval systems that is based on a Theory of Information and a Theory of Uncertainty, respectively Situation Theory and Dempster-Shafer’s Theory of Evidence. These were selected because they allow us to tackle two of the main problems that confront any attempt to model an information retrieval system: the ...
Mounia Lalmas, C. J. van Rijsbergen
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An Improved Algorithm for Dempster-Shafer Theory of Evidence
2009 International Conference on Electronic Commerce and Business Intelligence, 2009The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the ...
Yan Chenghua, Chen Qixiang
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Connections between rough set theory and Dempster-Shafer theory of evidence
International Journal of General Systems, 2002In rough set theory there exists a pair of approximation operators, the upper and lower approximations, whereas in Dempster-Shafer theory of evidence there exists a dual pair of uncertainty measures, the plausibility and belief functions. It seems that there is some kind of natural connection between the two theories.
Wei-Zhi Wu 0001 +2 more
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