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Assessment of Chinese local government disaster resilience based on the D-FAHP method. [PDF]

Sci Rep
Yang Z, Chen G, Guo X.
europepmc   +1 more source

Toward a Dempster-Shafer theory of concepts

International Journal of Approximate Reasoning, 2020
In this paper, we generalize the basic notions and results of Dempster-Shafer theory from predicates to formal concepts. Results include the representation of conceptual belief functions as inner measures of suitable probability functions, and a Dempster-Shafer rule of combination on belief functions on formal concepts.
Alessandra Palmigiano, Apostolos Tzimoulis, Krishna Manoorkar   +2 more
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Dempster-Shafer Theory for Stock Selection

2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021
The Dempster-Shafer theory is used to develop a stock selection method. Monte Carlo algorithms are employed to approximate Dempster’s combination rule to overcome the high computational complexity of the method. Numerical results are obtained to compare the proposed method with another Dempster-Shafer based stock selection method and the S&P 500 ...
Nima Salehy, Giray Ökten
openaire   +2 more sources

A clash in Dempster-Shafer theory

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2005
In this paper, we justify Dempster's rule of combination under Shafer's interpretation of belief functions. Then, we argue that there is a clash in Dempster-Shafer (D-S) theory. That is, the definition which Shafer gives for belief function Bel/sub /spl infin// is not consistent with his interpretation for the belief function.
Wei Xiong, Xudong Luo, Shier Ju
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MODELLING DEPENDENCE IN DEMPSTER-SHAFER THEORY

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007
Belief functions can only be combined by Dempster's rule when they are based on independent items of evidence. This paper proposes a method for handling the case where there is some probabilistic dependence among the items of evidence. The method relies on compact representations of joint probability distributions on the assumption variables associated
Paul-André Monney, Moses W. Chan
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Dempster-Shafer theory for image restoration

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
This 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, Sukadev Meher, V. S. Lunge   +2 more
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Measures of discord in the Dempster-Shafer theory

Information Sciences, 1993
This 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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An extended approach for Dempster-Shafer theory

Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications, 2004
The 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 with Smoothness

2013
This 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, Stefan Glüge, Andreas Wendemuth   +2 more
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