Titlebook: Scalable Uncertainty Management; 12th International Davide Ciucci,Gabriella Pasi,Barbara Vantaggi Conference proceedings 2018 Springer Na

libertine

Fuzzification of Ordinal Classes. The Case of the HL7 Severity Gradings of the standard terminology: absent, mild, moderate, severe and very severe. Using the collected values we then present and discuss three different possible representations that address the vagueness of medical interpretation by taking into account the perceptions of domain experts. In perspective

Glaci冰

Separable Qualitative Capacitiesport capacities, each focusing on a subset of the frame of discernment. We compare this decomposition with the one of general capacities as a maximum over a finite set of necessity measures. The relevance of this framework to the problem of information fusion from unreliable sources is explained.

后來(lái)

mitral-valve

A Crash Course on Generalized Possibilistic Logicditions of reasoning under or about uncertainty (set-functions, epistemic logic and three-valued logics) can be reconciled in the setting of possibility theory. We offer a brief presentation of basic possibilistic logic, and of its generalisation that comes close to a modal logic albeit with simpler

allude

Discrete Sugeno Integrals and Their Applicationsessions of the Sugeno integrals are presented. Some major characterisation results are recalled: results based on characteristic properties and act-based axiomatisation. We discuss the properties of a preference relation modelling by a Sugeno integral. We also present its power expression to represe

curettage

Enthralling

Explaining the Most Probable Explanationerence task is the most probable explanation (MPE), which provides the most likely assignment to all the random variables that is consistent with the given evidence. A downside of this MPE solution is that it is static and not very informative for (medical) domain experts. In our research to overcom

maintenance

Inexorable

A Modular Inference System for Probabilistic Description Logicsing system, exploiting an underlying non-probabilistic reasoner (Pellet), able to perform inference w.r.t. Probabilistic Description Logics. In this paper, we report on a new . version of BUNDLE that can use other OWL (non-probabilistic) reasoners and various approaches to perform probabilistic infe

kyphoplasty

Modeling the Dynamics of Multiple Disease Occurrence by Latent States patients have multiple diseases instead of a single one (also known as multimorbidity), but the small size of most clinical research data makes it hard to impossible to investigate this issue. In this paper, we propose a latent-based approach to expand patient evolution in temporal electronic healt