Zobrazeno 1 - 10
of 1 559
pro vyhledávání: '"expert judgment"'
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background The ability of an expert’s item difficulty ratings to predict test-taker actual performance is an important aspect of licensure examinations. Expert judgment is used as a primary source of information for users to make prior dec
Externí odkaz:
https://doaj.org/article/83969ae28df0439c9fa055a2f352897e
Publikováno v:
IEEE Access, Vol 12, Pp 142083-142100 (2024)
The effective extraction of expert knowledge is paramount for ensuring reliable results in decision support systems, especially considering the complexities inherent in decision-making and the potential inaccuracies of expert judgment. Identifying cr
Externí odkaz:
https://doaj.org/article/3f2e38234a204964b8ce305426c99876
Publikováno v:
Entropy, Vol 26, Iss 11, p 949 (2024)
The work presented here marks a further advance in expert uncertainty quantification. In a recent probabilistic evaluation of ice sheet process contributions to sea level rise, tail dependence was elicited and propagated through an uncertainty analys
Externí odkaz:
https://doaj.org/article/afdb74fd96814c13921963ec64f21949
Publikováno v:
Engineering, Construction and Architectural Management, 2022, Vol. 30, Issue 9, pp. 4387-4414.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-01-2022-0063
Autor:
Guus Rongen, Oswaldo Morales-Nápoles
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101693- (2024)
This article describes the development of a GUI that addresses the challenge of eliciting dependencies between uncertain quantities elicited by experts. While software for eliciting univariate uncertainties is widely available, the mathematical compl
Externí odkaz:
https://doaj.org/article/37ebb9d989ae4f0687c97d72b78b6f9b
Autor:
Urszula A. Snigurska, Sarah E. Ser, Laurence M. Solberg, Mattia Prosperi, Tanja Magoc, Zhaoyi Chen, Jiang Bian, Ragnhildur I. Bjarnadottir, Robert J. Lucero
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Prognostic models of hospital-induced delirium, that include potential predisposing and precipitating factors, may be used to identify vulnerable patients and inform the implementation of tailored preventive interventions. It is r
Externí odkaz:
https://doaj.org/article/d7b4395e9f8c430e9423ccf8ba14cac5
Publikováno v:
Forecasting, Vol 5, Iss 3, Pp 522-535 (2023)
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts’ elicited probability distributions of uncertain quantities. Experts’ weights are commonly derived from calibration experiments base
Externí odkaz:
https://doaj.org/article/8a777ca1ca2d4891bf4bba09b0ed5cea
Publikováno v:
Entropy, Vol 26, Iss 5, p 360 (2024)
Constructing Bayesian networks (BN) for practical applications presents significant challenges, especially in domains with limited empirical data available. In such situations, field experts are often consulted to estimate the model’s parameters, f
Externí odkaz:
https://doaj.org/article/edbbb97a09e74895be7d24684fd62fb8
Akademický článek
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Autor:
E. M. Shironina
Publikováno v:
Вестник университета, Vol 0, Iss 10, Pp 57-65 (2022)
In scientific studies, three approaches are used to identify experts in organizational research: sociological, behavioral, and cognitive. In the sociological approach, the emphasis is on the socio-political status of a person. The behavioral approach
Externí odkaz:
https://doaj.org/article/a531cb20a19f49848131c1ee87e6f3a9