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Measures of discord in the Dempster-Shafer theory
Information Sciences, 1993This paper presents a complementary study of a previous one of the authors [Int. J. Gen. Syst. 18, No. 2, 155-166 (1990; Zbl 0732.60004)] in which a measure of discord was introduced as an uncertainty measure in the framework of Dempster-Shafer theory. That measure overcomes certain deficiencies in two measures defined in the same context, the measure ...
Arthur Ramer, George J. Klir
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Decision fusion method for fault diagnosis based on closeness and Dempster-Shafer theory
Journal of Intelligent & Fuzzy Systems, 2021Decision fusion is an effective way to resolve the conflict of diagnosis results. Aiming at the problem that Dempster-Shafer (DS) theory deals with the high conflict of evidence and produces wrong results, a decision fusion algorithm for fault diagnosis ...
Xiu-e Gao +5 more
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An extended approach for Dempster-Shafer theory
Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications, 2004The modeling of epitesmic knowledge is a necessity of most systems dealing with some sort of artificial reasoning. There are several formalisms able to mathematically model someone's degrees of belief. A very popular one is the Bayesian theory, which is based on a prior knowledge of a probability distribution.
Fabio Campos, Sérgio Cavalcante
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Dempster-Shafer theory for image restoration
Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010This work proposes a new filter based on progressive decision using Dempster-Shafer theory, to suppress the impulse noise to preserve details of image and to restore image corrupted by random valued impulse noise. The new filter mechanism is composed of an efficient D-S impulse detector and a noise filter. The D-S evidence theory provides a way to deal
R. K. Kulkarni +2 more
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A Matrix Method of Basic Belief Assignment's Negation in Dempster–Shafer Theory
IEEE transactions on fuzzy systems, 2020Negation is a new perspective to represent knowledge. The negation of probability distribution has been proposed, and it has a lot of interesting properties, which can reach a maximum entropy. Because of the defects of the classical probability theory in
Ziyuan Luo, Yong Deng
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An intelligent fault diagnosis approach based on Dempster-Shafer theory for hydraulic valves
Measurement, 2020Detecting faults in hydraulic valves are of significance to improve the reliability and security of hydraulic systems. However, it is difficult to detect multiple faults in hydraulic valves using existing approaches due to closed structural components ...
Xiancheng Ji +4 more
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Dempster-Shafer Theory with Smoothness
2013This paper introduces the idea of a modified Dempster-Shafer theory. We adapt the belief characteristic of expert combination by introducing a penalty term which is specific to the investigated object. This approach is motivated by the observation that final decisions in the Dempster-Shafer theory might tend to fluctuations due to variations in sensor ...
Ronald Böck +2 more
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1984
This is a theory of evidence potentially suitable for knowledge-based systems. The system is based on “basic probabilities” which can be visualized as probability masses that are constrained to stay within the subset with which they are associated, but are free to move over every point in the subset.
Alan Bundy, Lincoln Wallen
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This is a theory of evidence potentially suitable for knowledge-based systems. The system is based on “basic probabilities” which can be visualized as probability masses that are constrained to stay within the subset with which they are associated, but are free to move over every point in the subset.
Alan Bundy, Lincoln Wallen
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Structural Health Monitoring, 2020
An artificial intelligent bearing fault and hierarchical severity diagnosis framework is proposed in this study. The framework utilizes a combined deep belief networks (DBNs) and Dempster–Shafer (D-S) theory fault diagnosis scheme and adopts a two-stage ...
Kun Yu, T. Lin, Jiwen Tan
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An artificial intelligent bearing fault and hierarchical severity diagnosis framework is proposed in this study. The framework utilizes a combined deep belief networks (DBNs) and Dempster–Shafer (D-S) theory fault diagnosis scheme and adopts a two-stage ...
Kun Yu, T. Lin, Jiwen Tan
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Fault recognition using an ensemble classifier based on Dempster-Shafer Theory
Pattern Recognition, 2020Aiming at the poor performance of individual classifier in the field of fault recognition, in this paper, a new ensemble classifier is constructed to improve the classification accuracy by combining multiple classifiers based on Dempster–Shafer Theory ...
Zhen Wang +4 more
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