Reasoning and learning in the setting of possibility theory-Overview and perspectives
Possibility theory stands halfway between logical and probabilistic representation
frameworks. Possibility theory, as a setting for handling epistemic uncertainty, may have a …
frameworks. Possibility theory, as a setting for handling epistemic uncertainty, may have a …
Representations of uncertainty in artificial intelligence: Probability and possibility
Due to its major focus on knowledge representation and reasoning, artificial intelligence was
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …
Conditional belief functions as lower envelopes of conditional probabilities in a finite setting
The aim is to provide a characterization of full conditional measures on a finite Boolean
algebra, obtained as lower envelope of the extensions of a full conditional probability …
algebra, obtained as lower envelope of the extensions of a full conditional probability …
Possibilistic and probabilistic logic under coherence: default reasoning and System P
G Coletti, R Scozzafava, B Vantaggi - Mathematica Slovaca, 2015 - degruyter.com
Some results on coherence in probabilistic and in possibilistic frameworks are presented in
order to deal with nonmonotonic reasoning. Moreover, we extend these results to …
order to deal with nonmonotonic reasoning. Moreover, we extend these results to …
A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change
In this article we propose an innovative approach to support a participatory modelling
process for the exploratory assessment of vulnerability within the broad context of climate …
process for the exploratory assessment of vulnerability within the broad context of climate …
[HTML][HTML] Fuzzy memberships as likelihood functions in a possibilistic framework
Likelihood functions are studied in a probabilistic and possibilistic setting: inferential
conclusions are drawn from a set of likelihood functions and prior information relying on the …
conclusions are drawn from a set of likelihood functions and prior information relying on the …
T-conditional possibilities: coherence and inference
G Coletti, B Vantaggi - Fuzzy Sets and Systems, 2009 - Elsevier
In this paper we refer to an axiomatic definition of T-conditional possibility, where T is any t-
norm. We characterize a full T-conditional possibility in terms of a suitable set of …
norm. We characterize a full T-conditional possibility in terms of a suitable set of …
The extent of partially resolving uncertainty in assessing coherent conditional plausibilities
D Petturiti, B Vantaggi - Fuzzy Sets and Systems, 2023 - Elsevier
Handling uncertainty and reasoning under partial knowledge are challenging tasks that
require to deal with coherent assessments and their extensions. Plausibility theory is shown …
require to deal with coherent assessments and their extensions. Plausibility theory is shown …
Analysis of possibility theory for reasoning under uncertainty
AA Alola - 2012 - i-rep.emu.edu.tr
The purpose of this thesis is to analyze the possibility theory for reasoning under uncertainty.
The relationship and difference between probability and possibility theories are presented …
The relationship and difference between probability and possibility theories are presented …
Possibilistic and probabilistic likelihood functions and their extensions: Common features and specific characteristics
We deal with conditional probability in the sense of de Finetti and with T-conditional
possibility (with T a triangular norm). We prove that Dubois and Prade conditional possibility …
possibility (with T a triangular norm). We prove that Dubois and Prade conditional possibility …