Incomplete Information: Structure, Inference, Complexity - Archive ouverte HAL Accéder directement au contenu
Ouvrages Année : 2002

Incomplete Information: Structure, Inference, Complexity

Résumé

The construction of any broadly understood theory of information or infor­mation processing system involves two major methodological processes: (1) abstraction and analysis, (2) reasoning and computing. This monograph is a realisation of these two processes in relation to the study of incompleteness of information. The paradigm we are working with is inspired by a rough-set approach to data analysis: the formalisms we develop enable the use of a non­ invasive data representation. This means that the only information which is and must be used in the process of analysis is the actual information that is to be analysed; we do not require any additional sources of information. An abstraction is formed in the process of conception, design, and develop­ment of structures. Then analysis leads to a selection of a class of structures. In this book we delineate a class of informational structures that enable us to represent both numerical and non-numerical information and we analyse var­ious manifestations of its incompleteness. We discuss several general types of incompleteness of information which are grounded in a rough-set-style view of imprecision and uncertainty. Manifestations of these types of incompleteness in information systems are investigated.
Fichier non déposé

Dates et versions

hal-03190271 , version 1 (06-04-2021)

Identifiants

  • HAL Id : hal-03190271 , version 1

Citer

Stéphane Demri, Ewa Orlowska. Incomplete Information: Structure, Inference, Complexity. Springer, 2002, 978-3-662-04997-6. ⟨hal-03190271⟩
38 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More