Results 21 to 30 of about 13,159 (226)
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory
IEEE Transactions on Neural Networks and Learning Systems, 2020 The common spatial pattern (CSP) algorithm is a well-recognized spatial filtering method for feature extraction in motor imagery (MI)-based brain–computer interfaces (BCIs).
Jing Jin +5 more
semanticscholar +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Sistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Salah satu cara untuk mengatasi dan membantu mendeteksi tingkat resiko penyakit JK seseorang, yaitu dengan membuat sebuah ...
Elyza Gustri Wahyuni +1 more
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Uncertain portfolio optimization based on Dempster-Shafer theory [PDF]
Management Science Letters, 2022 Nowadays, the selection and management of the optimal portfolio are the most primary fields of financial decision-making. Thereby, selecting a portfolio capable of providing the highest efficiency and, at the same time, the lowest investment ...
Amirhossein Skoruchi, Emran Mohammadi
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Human Cognitive Models for Heritage Site Monitoring
Digital Presentation and Preservation of Cultural and Scientific Heritage, 2021 Integrating evidence from a single sensor over time is becoming more common due to the Internet of Things (IoT). It can play a critical role in Heritage site monitoring, as networks of sensors are required to catalog and analyze data over extended ...
Michael E. Farmer
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On The Validity Of Dempster-Shafer Theory
, 2012 We challenge the validity of Dempster-Shafer Theory by using an emblematic example to show that DS rule produces counter-intuitive result. Further analysis reveals that the result comes from a understanding of evidence pooling which goes against the common expectation of this process.
Dezert, Jean +2 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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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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A Defect in Dempster-Shafer Theory [PDF]
, 1994 By analyzing the relationships among chance, weight of evidence and degree of beliefwe show that the assertion "probability functions are special cases of belief functions" and the assertion "Dempster's rule can be used to combine belief functions based on distinct bodies of evidence" together lead to an inconsistency in Dempster-Shafer theory.
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A novel multi-classifier information fusion based on Dempster–Shafer theory: application to vibration-based fault detection [PDF]
Structural Health Monitoring, 2020 Achieving a high prediction rate is a crucial task in fault detection. Although various classification procedures are available, none of them can give high accuracy in all applications. Therefore, in this article, a novel multi-classifier fusion approach
V. Yaghoubi +3 more
semanticscholar +1 more source
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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