Results 31 to 40 of about 10,216,557 (216)
Complex & Intelligent Systems, 2023 Reliable mechanical fault diagnosis of high-voltage circuit breakers is important to ensure the safety of electric power systems. Recent fault diagnosis approaches are mostly based on a single classifier whose performance relies heavily on expert prior ...
Xiaofeng Li +4 more
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On the Combinality of Evidence in the Dempster-Shafer Theory
CoRR, 2013 In the current versions of the Dempster-Shafer theory, the only essential restriction on the validity of the rule of combination is that the sources of evidence must be statistically independent. Under this assumption, it is permissible to apply the Dempster-Shafer rule to two or mere distinct probability distributions.
Lotfi A. Zadeh, Anca L. Ralescu
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Score-level multibiometric fusion based on Dempster-Shafer theory incorporating uncertainty factors [PDF]
, 2014 While existing multi-biometic Dempster-Shafer the- ory fusion approaches have demonstrated promising perfor- mance, they do not model the uncertainty appropriately, sug- gesting that further improvement can be achieved.
Nguyen Thanh, Kien +3 more
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A modified belief entropy in Dempster-Shafer framework. [PDF]
PLoS ONE, 2017 How to quantify the uncertain information in the framework of Dempster-Shafer evidence theory is still an open issue. Quite a few uncertainty measures have been proposed in Dempster-Shafer framework, however, the existing studies mainly focus on the mass
Deyun Zhou, Yongchuan Tang, Wen Jiang
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Combination of Acoustic Classifiers Based on Dempster-Shafer Theory of Evidence [PDF]
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007 In this paper we investigate combination of neural net based classifiers using Dempster-Shafer theory of evidence. Under some assumptions, combination rule resembles a product of errors rule observed in human speech perception. Different combination are tested in ASR experiments both in matched and mismatched conditions and compared with more ...
Fabio Valente, Hynek Hermansky
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Enhanced fire detection: a weighted bounding box fusion approach based on Dempster–Shafer theory [PDF]
PeerJ Computer ScienceIn this study, we present an advanced fire detection approach using an improved weighted bounding box fusion technique based on Dempster–Shafer theory. A key challenge in fire detection is the inherent uncertainty in distinguishing true fire events from ...
Kheireddine Choutri +5 more
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An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy
IEEE Access, 2019 Intuitionistic fuzzy sets (IFSs) are essential in the multi-criteria decision making (MCDM) under uncertain environment. However, how to reasonably aggregate them with considering the uncertainty contained in the IFSs is still an open issue.
Zeyi Liu, Fuyuan Xiao
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A new model for threat assessment in data fusion based on fuzzy evidence theory
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 In this paper a new method for threat assessment is proposed based on Fuzzy Evidence Theory. The most widely classical and intelligent methods used for threat assessment systems will be Evidence or Dempster Shafer and Fuzzy Sets Theories.
Ehsan Azimirad, Javad Haddadnia
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, 2008 The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (1976). Since its introduction the very name causes confusion, a more general term often used is belief functions (both used intermittently here).
Beynon, Malcolm James, Malcolm J. Beynon
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A New Belief Entropy Based on Deng Entropy
Entropy, 2019 For Dempster−Shafer evidence theory, how to measure the uncertainty of basic probability assignment (BPA) is still an open question. Deng entropy is one of the methods for measuring the uncertainty of Dempster−Shafer evidence.
Dan Wang, Jiale Gao, Daijun Wei
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