The construction of any broadly understood theory of information or infor- mation 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 develop- ment 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 var- ious 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.
| ISBN: | 9783642075407 |
| Publication date: | 19th October 2010 |
| Author: | Stephane P Demri, Ewa Orlowska |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 408 pages |
| Series: | Monographs in Theoretical Computer Science. An EATCS Series |
| Genres: |
Mathematical theory of computation Artificial intelligence Algorithms and data structures Data warehousing Information retrieval |