Results 31 to 40 of about 1,058,148 (324)

Comparative Uncertainty, Belief Functions and Accepted Beliefs

CoRR, 2013
Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998)
Didier Dubois, Hélène Fargier, Henri Prade   +2 more
openaire   +3 more sources

Fuzzy logic based on Belief and Disbelief membership functions

Fuzzy Information and Engineering, 2017
Many theories are developed based on probability to deal with incomplete information. The fuzzy logic deals with belief rather than likelihood (probability). Zadeh first defined fuzzy set as a single membership function.
Poli Venkata Subba Reddy
doaj   +1 more source

Belief Consensus Algorithms for Fast Distributed Target Tracking in Wireless Sensor Networks [PDF]

, 2013
In distributed target tracking for wireless sensor networks, agreement on the target state can be achieved by the construction and maintenance of a communication path, in order to exchange information regarding local likelihood functions.
Savic, Vladimir, Wymeersch, Henk, Zazo, Santiago   +2 more
core   +2 more sources

Depth-bounded Belief functions

International Journal of Approximate Reasoning, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. Baldi, H. Hosni
openaire   +2 more sources

Generalized basic probability assignments [PDF]

, 2002
Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially.
Augustin, Thomas
core   +1 more source

Assessing forensic evidence by computing belief functions

, 2016
We first discuss certain problems with the classical probabilistic approach for assessing forensic evidence, in particular its inability to distinguish between lack of belief and disbelief, and its inability to model complete ignorance within a given ...
Kerkvliet, Timber, Meester, Ronald
core   +1 more source

AGM-Like Paraconsistent Belief Change [PDF]

, 2017
Two systems of belief change based on paraconsistent logics are introduced in this article by means of AGM-like postulates. The first one, AGMp, is defined over any paraconsistent logic which extends classical logic such that the law of excluded middle ...
Coniglio, Marcelo E., Ribeiro, Márcio M., Testa, Rafael R.   +2 more
core   +1 more source

A Behavioral Interpretation of Belief Functions [PDF]

Journal of Theoretical Probability, 2017
Shafer's belief functions were introduced in the seventies of the previous century as a mathematical tool in order to model epistemic probability. One of the reasons that they were not picked up by mainstream probability was the lack of a behavioral interpretation. In this paper we provide such a behavioral interpretation, and re-derive Shafer's belief
Kerkvliet, Timber, Meester, Ronald
openaire   +3 more sources

RPC-EAU: Radar Plot Classification Algorithm Based on Evidence Adaptive Updating

Applied Sciences
Accurately classifying targets and clutter plots is crucial in radar data processing. It is beneficial for filtering out a large amount of clutters and improving the track initiation speed and tracking accuracy of real targets.
Rui Yang, Yingbo Zhao
doaj   +1 more source

A Reliability-Based Multisensor Data Fusion with Application in Target Classification

Sensors, 2020
The theory of belief functions has been extensively utilized in many practical applications involving decision making. One such application is the classification of target based on the pieces of information extracted from the individual attributes ...
Gabriel Awogbami, Abdollah Homaifar
doaj   +1 more source