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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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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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Ebola virus disease detection using Dempster-Shafer evidence theory
2015 IEEE International Conference on Progress in Informatics and Computing (PIC), 2015This research presents bola virus disease detection using Dempster-Shafer evidence theory. The Dempster-shafer evidential theory is a method about uncertainty reasoning, and this theory reduces the requirements of the knowledge of prior probability and conditional probability.
Andino Maseleno +2 more
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Using Dempster-Shafer Evidence Theory for Dialog State Tracking
2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018In a task oriented spoken dialogue system, the automatic speech recognition (ASR) and spoken language understanding (SLU) modules usually provide multiple uncertain results, which may be related or divergent. Previously, researchers used classical probability theory based approach to solve this problem, but it is difficult to handle results combination
Minglu Liu +4 more
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Pooling expert opinions using Dempster-Shafer theory of evidence
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 2002We propose a method based on Dempster-Shafer theory of evidence, to pool expert judgements about the hypotheses of the studied field and to get an assessment and even a ranking of the different scenarios. We start by presenting scenarios, then we describe an aggregation method of expertise based on probabilities and its limitations. Finally, we propose
K. Mellouli, Z. Elouedi
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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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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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An improved algorithm for Dempster-Shafer theory of evidence
2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008The 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 ...
null Qing Ye +2 more
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Dempster-Shafer evidence theory-application approach
AIP Conference Proceedings, 2023T. Haripriya +3 more
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Intelligent control system using Dempster-Shafer theory of evidence
SPIE Proceedings, 2004This paper presents an intelligent control system for robust and adaptive control of non-linear, time-variant systems operating under uncertain conditions. The approach is based on Dempster-Shafer theory of evidence and Dempster’s rule for combining beliefs.
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