Results 131 to 140 of about 1,384 (184)

Data-driven Bayesian networks for risk scenario mapping of Falls from height accidents. [PDF]

PLoS One
Li J, Wang T.
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Collective effect of self-learning and social learning on language dynamics: a naming game approach in social networks. [PDF]

J R Soc Interface
Wen T, Chen YW, Lambiotte R.
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Research on intelligent decision support platform for tourism enterprises based on multi-source heterogeneous data fusion. [PDF]

Sci Rep
Song M.
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On the fuzzy generalization of the Dempster-Shafer theory of evidence

2010 International Conference on Machine Learning and Cybernetics, 2010
In this paper we develop the fuzzy generalization of the Dempster-Shafer theory of evidence. Two pairs of fuzzy valued belief and plausibility functions are constructed by a fuzzy T-similarity relation. These functions take values in the fuzzy unit interval, a well known concept in fuzzy topology theory.
Eric C. C. Tsang, Degang Chen 0002
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An improved algorithm for Dempster-Shafer theory of evidence

2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008
The 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 ...
Qing Ye, Xiaoping Wu, Dingjun Zhai
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On modal logic interpretation of Dempster–Shafer theory of evidence

International Journal of Intelligent Systems, 1994
Summary: 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, George J. Klir, Germano Resconi   +2 more
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Expert finding by the Dempster‐Shafer theory for evidence combination

Expert Systems, 2017
AbstractThe 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, Mostafa Dehghani 0001, Maryam S. Mirian, Azadeh Shakery, Khalil Taheri   +4 more
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Association Rules and Dempster-Shafer Theory of Evidence

2003
The 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, Yasuo Kudo, Yoshiharu Sato   +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, 2016
Indoor 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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