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Pattern Recognition Letters, 2006
Abstract Fault diagnosis requires reasoning and decision-making based on diagnostic knowledge and features extracted from raw data. In practice, fault features may be uncertain and imprecise due to sensor errors, fluctuating working conditions, and limitations of feature extraction methods.
Xianfeng Fan, Ming Jian Zuo
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Abstract Fault diagnosis requires reasoning and decision-making based on diagnostic knowledge and features extracted from raw data. In practice, fault features may be uncertain and imprecise due to sensor errors, fluctuating working conditions, and limitations of feature extraction methods.
Xianfeng Fan, Ming Jian Zuo
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Wi-Fi Indoor Positioning Using D-S Evidence Theory
2021The Wi-Fi indoor positioning method is one of research hot-spots in the field of mobile computing. However, the existing methods rarely consider the impact of the diversity of the Received Signal Strength (RSS) on the performance of the signal propagation distance estimation, resulting in the low positioning accuracy and the poor system robustness.
Zhu Liu +4 more
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A Novel MIMO Detection Scheme Based on D-S Evidence Theory
2009 IEEE 70th Vehicular Technology Conference Fall, 2009This paper proposes a novel detection scheme based on Dempster-Shafer (D-S) evidence theory in multiple-input multiple-output (MIMO) systems. The focal-element-set (FES) characterizes the uncertainty contained in the decision statistics, and the corresponding basic-probability-assignment (BPA) of FES is the likelihood measure, acting as the soft ...
Jinhuan Xia, Tiejun Lv, Yonghua Li
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Combination of Weak Evidences by D-S Theory for Person Recognition
2004We argue how we should deal with some pieces of information each of which is not so strong for person recognition. On the basis of Dempster-Shafer theory, we introduce: 1) a new method of assigning a basic probability to nodes on a decision tree that is a basic expression of our current psychological status when we recieve an evidence, and 2) an update
Masafumi Yamada, Mineichi Kudo
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Reconstructing images corrupted by noise based on D–S evidence theory
International Journal of Machine Learning and Cybernetics, 2015In this paper, a new algorithm of noise reduction for image based on evidence theory is proposed. The values of all pixels are restricted in interval [0, 1], and set of data in each column is a term of mass function, which can be calculated by D–S composition rule.
Ye Zhao +3 more
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Trustworthiness Fusion of Web Service Based on D-S Evidence Theory
2010 Sixth International Conference on Semantics, Knowledge and Grids, 2010Trustworthiness plays an important role in service activities. However, it is not easy to define and compute the service trustworthiness as the evidence involves several information from different service party and maybe conflict at the same time. We discuss the definition and computation method of trustworthiness in this paper.
Rong Hu, Jianxun Liu
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Data Fusion Method Based on Improved D-S Evidence Theory
2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018As the rapid growth of user-generated data from social networks, wikis and social tagging systems, it is necessary to understand the high-level semantics and user subjective perceptions from such a large volume of data. In the era of big data flooding, how to fuse the emotional computing results from massive data to obtain effective conclusions and ...
Wei Zhang 0001 +5 more
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Research on rotor condition monitoring based on D-S evidence theory
2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016Aiming at the problem of continuous monitoring of rotating machinery, a new method based on D-S evidence theory is proposed for rotor condition monitoring. The discriminant vectors can be constructed by calculating the time domain parameters and frequency domain parameters from online monitoring data.
Yuanchao Chen +3 more
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An Approach to Testability Evaluation Based on Improved D-S Evidence Theory
Proceedings of the 2019 2nd International Conference on Information Management and Management Sciences - IMMS 2019, 2019To address the conflict of prior information in traditional D-S evidence theory, an approach to testability assessment based on improved D-S evidence theory is proposed by integrating testability virtual test information, testability expert experience information and testability prediction information.
Wang Xuan, Di Peng, Ni Zichun
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On the realization of credible combination for D-S evidence theory
2008 7th World Congress on Intelligent Control and Automation, 2008To improve the reliability of combination evidence in Dempster-Shafer theory, a new method is put forward in this thesis. Different with D-S evidence combination rule, two important parameters are introduced, one is the correlation coefficient between evidences, and another is the reliability of evidence.
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