Results 291 to 300 of about 1,424,410 (317)
Some of the next articles are maybe not open access.
On transformations of belief functions to probabilities
International Journal of Intelligent Systems, 2006Summary: Alternative approaches to the widely known pignistic transformation of belief functions are presented and analyzed. Pignistic, cautious, proportional, and disjunctive probabilistic transformations are examined from the point of view of their interpretation, of decision making and (from the point of view) of their commutation with rules ...
openaire +2 more sources
On Decombination of Belief Function
2019 22th International Conference on Information Fusion (FUSION), 2019Deqiang Han, Yi Yang 0008, Jean Dezert
openaire +2 more sources
Probability of deductibility and belief functions
2005We present an interpretation of Dempster-Shafer theory based on the probability of deducibility. We present two forms of revision (conditioning) that lead to the geometrical rule of conditioning and to Dempster rule of conditioning, respectively.
openaire +2 more sources
An improvement decision-making method by similarity and belief function theory
Communications in Statistics - Theory and Methods, 2023Mehran Khalaj, Fereshteh Khalaj
exaly
Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach
International Journal of Approximate Reasoning, 2023Prakash P Shenoy
exaly
Belief functions with nonstandard values
1997The notions of basic probability assignment and belief function, playing the basic role in the Dempster-Shafer model of uncertainty quantification and processing often called Dempster-Shafer theory, are generalized in such a way that their values are not numbers from the unit interval of reals, but rather infinite sequences of real numbers including ...
openaire +1 more source
Propagation of Gaussian belief functions
1996A Gaussian belief function (GBF) can be intuitively described as a Gaussian distribution over a hyperplane, whose parallel sub-hyperplanes are the focal elements. It includes as special cases non-probabilistic linear equations, statistical observations, multivariate Gaussian distributions, and vacuous belief functions.
openaire +1 more source
An improved multisource data fusion method based on a novel divergence measure of belief function
Engineering Applications of Artificial Intelligence, 2022Boxun Liu, Yong Deng, Kang Hao Cheong
exaly
Analyzing the monotonicity of belief interval based uncertainty measures in belief function theory
International Journal of Intelligent Systems, 2018Xinyang Deng
exaly