The similarities and divergences between grey and fuzzy theory
AS Khuman - Expert Systems with Applications, 2021 - Elsevier
This article aims to provide the reader with a clearer understanding of the similarities and the
divergences that exist between grey and fuzzy theory. The notion of fuzzy is considerably …
divergences that exist between grey and fuzzy theory. The notion of fuzzy is considerably …
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 …
Imprecise probabilities
S Bradley - Computer Simulation Validation: Fundamental …, 2019 - Springer
This chapter explores the topic of imprecise probabilities (IP) as it relates to model
validation. IP is a family of formal methods that aim to provide a better representation of …
validation. IP is a family of formal methods that aim to provide a better representation of …
[图书][B] Probabilistic logic in a coherent setting
G Coletti, R Scozzafava - 2002 - books.google.com
The approach to probability theory followed in this book (which differs radically from the
usual one, based on a measure-theoretic framework) characterizes probability as a linear …
usual one, based on a measure-theoretic framework) characterizes probability as a linear …
[PDF][PDF] Stanford encyclopedia of philosophy
EN Zalta, U Nodelman, C Allen… - See http://plato. stanford …, 2002 - academia.edu
After an introductory section, this article will focus on four questions: How should the Kyoto
School be defined? What is meant by its central philosophical concept of “absolute …
School be defined? What is meant by its central philosophical concept of “absolute …
[HTML][HTML] The basic principles of uncertain information fusion. An organised review of merging rules in different representation frameworks
We propose and advocate basic principles for the fusion of incomplete or uncertain
information items, that should apply regardless of the formalism adopted for representing …
information items, that should apply regardless of the formalism adopted for representing …
An imprecise-probabilistic characterization of frequentist statistical inference
R Martin - arXiv preprint arXiv:2112.10904, 2021 - arxiv.org
Between the two dominant schools of thought in statistics, namely, Bayesian and
classical/frequentist, a main difference is that the former is grounded in the mathematically …
classical/frequentist, a main difference is that the former is grounded in the mathematically …
Probabilistic reasoning under coherence in System P
A Gilio - Annals of Mathematics and Artificial intelligence, 2002 - Springer
In this paper we apply a probabilistic reasoning under coherence to System P. We consider
a notion of strict probabilistic consistency, we show its equivalence to Adams' probabilistic …
a notion of strict probabilistic consistency, we show its equivalence to Adams' probabilistic …
Finitely additive conditional probabilities
E Regazzini - Rendiconti del Seminario Matematico e Fisico di …, 1985 - Springer
Si fornisce una breve rassegna delle ricerche tese ad estendere la condizione di coerenza
di B. de Finetti alla previsione di numeri aleatori subordinati. Si studiano alcune …
di B. de Finetti alla previsione di numeri aleatori subordinati. Si studiano alcune …
De Finetti's coherence and statistical inference
E Regazzini - The Annals of Statistics, 1987 - JSTOR
The main concerns of this paper are the definition of coherent inference (dF-coherent
inference) in conformity with a theory of conditional probabilities derived from de Finetti's …
inference) in conformity with a theory of conditional probabilities derived from de Finetti's …