| Incomplete Information: Structure, Inference, Complexity Contributor(s): Demri, Stephane P. (Author), Orlowska, Ewa (Author) |
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ISBN: 3642075401 ISBN-13: 9783642075407 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: October 2010 |
| Additional Information |
| BISAC Categories: - Computers | Data Processing - Computers | Intelligence (ai) & Semantics - Computers | Databases - General |
| Dewey: 006.3 |
| Series: Monographs in Theoretical Computer Science. an Eatcs |
| Physical Information: 0.87" H x 6.14" W x 9.21" (1.31 lbs) 408 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |