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Dempster–Shafer evidence theory approach to structural damage detection
Structural Health Monitoring, 2011In this study, the Dempster–Shafer (D–S) evidence theory-based approach for structural damage detection is presented. First, the damage basic probability assignment (BPA) function of substructures using each data set measured from the monitored structure is calculated.
Yuequan Bao +3 more
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Dempster-Shafer evidence theory for multi-bearing faults diagnosis
Engineering Applications of Artificial Intelligence, 2017Support 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 +3 more
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Combining Evidence in the Extended Dempster-Shafer Theory
1990The Dempster-Shafer (D-S) theory of evidence generalizes Bayesian probability theory, by providing a coherent representation for ignorance (lack of evidence). However, uncertain relationships between evidence and hypotheses bearing on this evidence are difficult to represent in applications of the theory.
Jiwen Guan +2 more
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Enhanced Metric Learning via Dempster-Shafer Evidence Theory
2018Metric learning is a hot topic in machine learning. A proper learned metric can measure the similarity between samples better and hence significantly improves the performance of machine learning algorithm. In this paper, we propose a novel enhanced distance metric learning method via Dempster-Shafer (D-S) evidence theory.
Ying Li, Yabo Zhang, Yaxin Peng
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Multi-scale data fusion using Dempster-Shafer evidence theory
IEEE International Geoscience and Remote Sensing Symposium, 2003In the remote sensing domain, the combination of multi-scale satellite data appears as a new challenge for the signal processing community. This approach will lead to strong advances in Earth monitoring and continental land cover classifications by use of the complementary of the data presenting either high spatial resolution or high time ...
Le Hégarat-Mascle, S. +2 more
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Image Subcategory Classification Based on Dempster-Shafer Evidence Theory
2012 International Conference on Computer Science and Service System, 2012Traditional image subcategory classification methods combined multiple features into a feature vector. Such methods neglect distinct roles of diverse features on discriminating image subcategories. In this paper, the Dempster-Shafer evidence theory is applied to fuse different features in image subcategory classification.
Haidi Gao +4 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, 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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