A survey of the theory of coherent lower previsions
E Miranda - International Journal of Approximate Reasoning, 2008 - Elsevier
This paper presents a summary of Peter Walley's theory of coherent lower previsions. We
introduce three representations of coherent assessments: coherent lower and upper …
introduce three representations of coherent assessments: coherent lower and upper …
Fuzzy sets and information granularity
LA Zadeh - Fuzzy sets, fuzzy logic, and fuzzy systems: selected …, 1996 - World Scientific
FUZZY SETS AND INFORMATION GRANULARITY LA Zadeh Computer Science Division
Department of Electrical Engineering and Computer Sc Page 1 FUZZY SETS AND INFORMATION …
Department of Electrical Engineering and Computer Sc Page 1 FUZZY SETS AND INFORMATION …
Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds
RC Williamson, T Downs - International journal of approximate reasoning, 1990 - Elsevier
Probabilistic arithmetic involves the calculation of the distribution of arithmetic functions of
random variables. This work on probabilistic arithmetic began as an investigation into the …
random variables. This work on probabilistic arithmetic began as an investigation into the …
[图书][B] On the validity of Dempster's rule of combination of evidence
LA Zadeh - 1979 - books.google.com
In a seminal paper published in 1967, Dempster has described a rule for combining
independent sources of information. More recently, Dempster's rule has been employed as a …
independent sources of information. More recently, Dempster's rule has been employed as a …
Two views of belief: belief as generalized probability and belief as evidence
JY Halpern, R Fagin - Artificial intelligence, 1992 - Elsevier
Belief functions are mathematical objects defined to satisfy three axioms that look somewhat
similar to the Kolmogorov axioms defining probability functions. We argue that there are (at …
similar to the Kolmogorov axioms defining probability functions. We argue that there are (at …
Belief functions and parametric models
G Shafer - Journal of the Royal Statistical Society Series B …, 1982 - academic.oup.com
The theory of belief functions assesses evidence by fitting it to a scale of canonical examples
in which the meaning of a message depends on chance. In order to analyse parametric …
in which the meaning of a message depends on chance. In order to analyse parametric …
[HTML][HTML] A mathematical theory of evidence turns 40
G Shafer - International Journal of Approximate Reasoning, 2016 - Elsevier
A Mathematical Theory of Evidence turns 40 - ScienceDirect Skip to main contentSkip to
article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Constructive probability
G Shafer - Synthese, 1981 - JSTOR
In a series of papers published in the 1960's, AP Dempster developed a generalization of
the Bayesian theory of statistical in ference. In A Mathematical Theory of Evidence …
the Bayesian theory of statistical in ference. In A Mathematical Theory of Evidence …
Experts and foresight: review and experience
D Loveridge - … Journal of Foresight and Innovation Policy, 2004 - inderscienceonline.com
Experts and their opinions are widely sought, but there are serious questions to be asked
about both experts and their opinions. Governments, through their advisory committees …
about both experts and their opinions. Governments, through their advisory committees …
Belief functions and statistical inference
LA Wasserman - Canadian Journal of Statistics, 1990 - Wiley Online Library
Abstract The Dempster Shafer theory of belief functions is a method of quantifying
uncertainty that generalizes probability theory. We review the theory of belief functions in the …
uncertainty that generalizes probability theory. We review the theory of belief functions in the …