[BOOK][B] Subjective logic
A Jøsang - 2016 - Springer
The development of subjective logic has been a journey, on which this book represents a
milestone. The original idea of subjective logic came to my mind in 1996, while I was a Ph …
milestone. The original idea of subjective logic came to my mind in 1996, while I was a Ph …
There is hope after all: Quantifying opinion and trustworthiness in neural networks
Artificial Intelligence (AI) plays a fundamental role in the modern world, especially when
used as an autonomous decision maker. One common concern nowadays is “how …
used as an autonomous decision maker. One common concern nowadays is “how …
A conceptual model of measurement uncertainty in iot sensor networks
The growing popularity of inexpensive IoT (Internet of Things) sensor networks makes their
uncertainty an important aspect of their adoption. The uncertainty determines their fitness for …
uncertainty an important aspect of their adoption. The uncertainty determines their fitness for …
Software-Friendly Subjective Bayesian Networks: Reasoning within a Software-Centric Mission Impact Assessment Framework
Subjective Bayesian networks (SBN) combine Bayesian Networks (BN) with Subjective
Logic in order to express the second-order uncertainty (ie, the uncertainty about a probability …
Logic in order to express the second-order uncertainty (ie, the uncertainty about a probability …
Quantifying and reducing epistemic uncertainty of passive acoustic telemetry data from longitudinal aquatic systems
Passive acoustic telemetry data are used to study animal movement in aquatic
environments, but tools to process the data are limited. In areas that are too large to be fully …
environments, but tools to process the data are limited. In areas that are too large to be fully …
Decision making under uncertainty and problem solving
Uncertainty arises because of ignorance or the absence of information in any situation.
Probability, risk, and randomness are concepts closely related to uncertainty that …
Probability, risk, and randomness are concepts closely related to uncertainty that …
[HTML][HTML] Conclusiveness resolves the conflict between quality of evidence and imprecision in GRADE
S Anttila, J Persson, N Vareman, NE Sahlin - Journal of clinical …, 2016 - Elsevier
Objectives The objective of our article is to show how “quality of evidence” and “imprecision,”
as they are defined in Grading of Recommendations Assessment, Development, and …
as they are defined in Grading of Recommendations Assessment, Development, and …
Towards an Efficient Simulation-Based Anytime Inference in Subjective Bayesian Networks
Subjective Bayesian networks (SBN) integrate Bayesian Networks (BN) with Subjective
Logic, enabling the representation of second-order uncertainty, denoting the uncertainty …
Logic, enabling the representation of second-order uncertainty, denoting the uncertainty …
Fundamental properties of relative entropy and Lin divergence for Choquet integral
H Agahi - International Journal of Approximate Reasoning, 2021 - Elsevier
Entropy is the most important concept used in information theory and measuring uncertainty.
In Choquet calculus, Sugeno (2013)[10] and Torra and Narukawa (2016)[2] studied Choquet …
In Choquet calculus, Sugeno (2013)[10] and Torra and Narukawa (2016)[2] studied Choquet …
On the application of credibilistic filtering to uncertainty quantification and assessment in the operational space domain
MJ Bever - 2020 - repositories.lib.utexas.edu
The local space environment is a rapidly changing political and commercial landscape.
There is a tremendous need for informed operational decisions in a regime that is …
There is a tremendous need for informed operational decisions in a regime that is …