Information quality and uncertainty

Marie-Jeanne Lesot (1) , Adrien Revault d'Allonnes (2)

1 LFI - Learning, Fuzzy and Intelligent systems
2 LIASD - Laboratoire d'Informatique Avancée de Saint-Denis

The quality of a piece of information depends, among others, on the certainty that can be attached to it, which relates to the degree of confidence that can be put in it. This paper discusses various components to be considered when assessing this certainty level. It shows that they cover a wide range of different types of uncertainty and provide a highly relevant application domain for theoretical questioning about uncertainty modelling. It also describes several frameworks that have been considered for this task.

Keywords: information scoring; information processing; uncertainty type; competence; reliability; plausibility; credibility; linguistic uncertainty

Domains: Computer Science [cs]; Artificial Intelligence [cs.AI]

Marie-Jeanne Lesot, Adrien Revault d'Allonnes. Information quality and uncertainty. Uncertainty Modeling, 2017. ⟨hal-01615344⟩