Results 141 to 150 of about 1,384 (184)

Combining nonspecificity measures in Dempster–Shafer theory of evidence

International Journal of General Systems, 2011
In 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

1998
This 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

1994
We 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, 2009
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 ...
Yan Chenghua, Chen Qixiang
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Emotion recognition model based on the Dempster–Shafer evidence theory

Journal of Electronic Imaging, 2020
Automatic 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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Dempster-Shafer evidence theory for multi-bearing faults diagnosis

Engineering Applications of Artificial Intelligence, 2017
Support vector machines (SVMs) are frequently used in automated machinery faults diagnosis to classify multiple machinery faults by handling a high number of input features with low sampling data sets. SVMs are well known for fault detection that involves binary fault classifications only (i.e., healthy vs. faulty).
Kar, Hoou Hui, Meng, Hee Lim, Ali Al-Obaidi, Salah Mahdi, Leong, Mohd. Salman @ Yew Mun   +3 more
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Connections between rough set theory and Dempster-Shafer theory of evidence

International Journal of General Systems, 2002
In 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, Yee Leung, Wen-Xiu Zhang   +2 more
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A flexible rule for evidential combination in Dempster–Shafer theory of evidence

Applied Soft Computing, 2019
Abstract Dempster’s combination rule in Dempster–Shafer theory of evidence is widely used to combine multiple pieces of evidence. However, when the evidence is severely conflicting, the result could be counter-intuitive. Thus, many alternative combination rules have been proposed to address this issue. Nevertheless, the existing ones sometimes behave
Wenjun Ma, Yuncheng Jiang, Xudong Luo 0004   +2 more
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On the relationship between Dempster-Shafer evidence theory and Choquet integral

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
The Dempster-Shafer evidence theory and Choquet integral both are well-known information fusion methods, but they contain some natural common characteristics except apparent difference. In this paper we compare the two methods according to their objective function structures, parameter identification, and application.
Shihong Yue, Xian Zhao, Jing Zhao, Weiqing Li   +3 more
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Requirements for total uncertainty measures in Dempster–Shafer theory of evidence

International Journal of General Systems, 2008
Recently, an alternative measure of total uncertainty in Dempster–Shafer theory of evidence (DST) has been proposed in place of the maximum entropy measure. It is based on the pignistic probability of a basic probability assignment and it is proved that this measure verifies a set of needed properties for such a type of measure. The proposed measure is
Joaquín Abellán, Andrés R. Masegosa
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