Results 91 to 100 of about 25,372 (226)
On (Anti)Conditional Independence in Dempster-Shafer Theory
This paper verifies a result of {Shenoy:94} concerning graphoidal structure of Shenoy's notion of independence for Dempster-Shafer theory of belief functions. Shenoy proved that his notion of independence has graphoidal properties for positive normal valuations.
openaire +5 more sources
GHSOM intrusion detection based on Dempster-Shafer theory
On the basis of incremental GHSOM,the GHSOM neural network intrusion detection based on the theory of evidence reasoning method was put forward.It can deal with the uncertainty caused by randomness and fuzziness,as well as can constantly narrowing ...
Jie SU +4 more
doaj +2 more sources
Generalization of Dempster–Shafer theory: A complex mass function
Fuyuan Xiao
semanticscholar +1 more source
We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems (GIS)-based approaches: logistic regression and Akaike’s Information Criterion (AIC), Multiple Criteria Evaluation (MCE), and ...
Shelley M. ALEXANDER, Hejun KANG
doaj
A New Belief Entropy in Dempster-Shafer Theory Based on Basic Probability Assignment and the Frame of Discernment. [PDF]
Li J, Pan Q.
europepmc +1 more source
Un procedimiento para elaborar mapas de riesgos naturales aplicado a Honduras
A method based on the theory of Evidence of Dempster-Shafer to build risk maps is proposed. Procedures to create maps of flooding exposition and to measure territorial vulnerability are explained.
Ismael Ahamdanech Zarco +6 more
doaj
A Dempster-Shafer theory inspired logic. [PDF]
Issues of formalising and interpreting epistemic uncertainty have always played a prominent role in Artificial Intelligence. The Dempster-Shafer (DS) theory of partial beliefs is one of the most-well known formalisms to address the partial knowledge. Similarly to the DS theory, which is a generalisation of the classical probability theory, fuzzy logic ...
openaire
This study proposes a collision-risk assessment framework that combines an interval type-2 fuzzy inference system with Dempster–Shafer evidence theory to more reliably evaluate vessel collision risk under the uncertainty inherent in AIS-based marine ...
Jinwan Park
doaj +1 more source

