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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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CAAI Transactions on Intelligence Technology, 2022 In order to improve the performance of the automatic apple grading and sorting system, in this paper, an ensemble model of ordinal classification based on neural network with ordered partitions and Dempster–Shafer theory is proposed. As a non‐destructive
Liyao Ma +5 more
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Non-exclusive hypotheses in Dempster–Shafer Theory [PDF]
, 2012 This paper studies the relations which exist between Dempster–Shafer Theory and one of its extensions which considers frames of discernment with non-exclusive hypotheses.
Laurence Cholvy, Cholvy, Laurence
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Journal of Mathematics, 2020 Uncertainty in data fusion applications has received great attention. Due to the effectiveness and flexibility in handling uncertainty, Dempster–Shafer evidence theory is widely used in numerous fields of data fusion.
Yong Chen, Yongchuan Tang, Yan Lei
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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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COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification because of the complimentary properties of each data ...
H. T. Chu, L. Ge
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Using Dempster-Shafer theory in data mining
, 2008 The origins of Dempster-Shafer theory (DST) go back to the work by Dempster (1967) who developed a system of upper and lower probabilities. Following this, his student Shafer (1976), in their book “A Mathematical Theory of Evidence” developed Dempster’s ...
Beynon, Malcolm James, Malcolm J. Beynon
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Combination of Evidence in Dempster-Shafer Theory [PDF]
, 2002 Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or ...
Sentz, Kari, Ferson, Scott
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ComputationThe paper proposes a method for circuit breaker state judgment based on ant colony algorithm-optimized Dempster-Shafer evidence theory.It can improve the accuracy and robustness of state judgment.
Qian Zhang +6 more
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Locating Facilities in Uncertainty Conditions based on D Number Theory [PDF]
چشمانداز مدیریت صنعتی, 2016 Organizational senior managers decide about Facility location under uncertainty and lack of enough Information, while the decision is time consuming, scientific and strategic. To select the optimal facility location, scholars have proposed a variety of
Reza Shaikh, Hanieh Shambaiati
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