Results 11 to 20 of about 2,065,536 (277)
The Annals of Occupational Hygiene, 2008 The reporting of measurement uncertainty has recently undergone a major harmonization whereby characteristics of a measurement method obtained during establishment and application are combined componentwise. For example, the sometimes-pesky systematic error is included.
David, Bartley, Göran, Lidén
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Measuring Knightian uncertainty [PDF]
Empirical Economics, 2019 KOF Working Papers ...
Andreas Dibiasi, David Iselin
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On Uncertainty Measure Issues in Rough Set Theory
IEEE Access, 2020 Rough set theory is a tool for dealing with uncertainty problems. How to measure the uncertainty of a knowledge is an important issue in the theory. However, the existing uncertainty measures may not accurately reflect the uncertainty degree.
Jianguo Tang +3 more
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Axioms, 2023 In this paper, we suggest a brand new extension of the inverse Lomax distribution for fitting engineering time data. The newly developed distribution, termed the transmuted Topp–Leone inverse Lomax (TTLILo) distribution, is characterized by an additional
Salem A. Alyami +3 more
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Measurement uncertainty relations [PDF]
Journal of Mathematical Physics, 2014 Measurement uncertainty relations are quantitative bounds on the errors in an approximate joint measurement of two observables. They can be seen as a generalization of the error/disturbance tradeoff first discussed heuristically by Heisenberg. Here we prove such relations for the case of two canonically conjugate observables like position and momentum,
Busch, Paul +2 more
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Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of ...
Yongchuan Tang, Yong Chen, Deyun Zhou
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Sensors, 2018 Quantification of uncertain degree in the Dempster-Shafer evidence theory (DST) framework with belief entropy is still an open issue, even a blank field for the open world assumption.
Yongchuan Tang +2 more
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EchoGéo, 2023 The seismic disaster occurring in the southeastern part of Turkey was triggered by an earthquake of magnitude 7.8 at 01:17 (UTC) and a second of magnitude 7.5 at 10:24 (UTC) on Monday, February 6 2023.
Youenn Gourain, Solène Poyraz
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An improved measure for belief structure in the evidence theory [PDF]
PeerJ Computer Science, 2021 Dempster–Shafer evidence theory (D–S theory) is suitable for processing uncertain information under complex circumstances. However, how to measure the uncertainty of basic probability distribution (BPA) in D–S theory is still an open question.
Qiang Zhang +3 more
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Sensors, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
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