Results 21 to 30 of about 338,178 (262)

Mesurer et nommer la catastrophe : usages politiques des tremblements de terre du 6 février 2023 dans le sud-est de la Turquie

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
doaj   +1 more source

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, Hao Li, Rongfei Li, Yongchuan Tang   +3 more
doaj   +2 more sources

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, Lahti, Pekka, Werner, Reinhard F.   +2 more
openaire   +4 more sources

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
doaj   +1 more source

Uncertainty in measurements of distance [PDF]

Classical and Quantum Gravity, 2002
5 pages ...
Baez, John C., Olson, S. Jay
openaire   +3 more sources

Using Explainable AI to Measure Feature Contribution to Uncertainty

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
The application of artificial intelligence techniques in safety-critical domains such as medicine and self-driving vehicles has raised questions regarding its trustworthiness and reliability.
Katherine Elizabeth Brown, Douglas A. Talbert   +1 more
doaj   +1 more source

A Novel Network Security Risk Assessment Approach by Combining Subjective and Objective Weights under Uncertainty

Applied Sciences, 2018
Nowadays, computer networks are playing a more and more important role in people’s daily lives. Meanwhile, the security of computer networks has also attracted widespread concern.
Yancui Duan, Yonghua Cai, Zhikang Wang, Xinyang Deng   +3 more
doaj   +1 more source

Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System

Complexity, 2022
Multisource information systems and multigranulation intuitionistic fuzzy rough sets are important extended types of Pawlak’s classical rough set model.
Hong Wang, Hong Li
doaj   +1 more source

Effective Attribute Reduction Algorithm Based on Fuzzy Uncertainties Using Shared Neighborhood Granulation

IEEE Access
As a very prominent research application of the theory of rough sets, attribute reduction technique has made significant strides in a lot of fields, including decision making, granular computing, etc.
Shengli Gao
doaj   +1 more source

Application of unascertained measure model in reservoir potential evaluation of Nanpu H Fault Block

Youqicang pingjia yu kaifa, 2023
How to accurately evaluate the current reservoir potential directly affects the potential tapping of remaining oil by water injection in complex fault block reservoirs during the middle and late stages of development.
QU Lili, LI Minglin, WU Zhimin, ZHANG Lin, FENG Linping, DENG Liping   +5 more
doaj