| Incomplete Information: Structure, Inference, Complexity 2002 Edition Contributor(s): Demri, Stephane P. (Author), Orlowska, Ewa (Author) |
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ISBN: 3540419047 ISBN-13: 9783540419044 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: July 2002 Annotation: This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The book studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information is needed in the process of analysis without external sources of information being required. The book is intended for researchers, lecturers and graduate students who wish to get acquainted with the rough set style approach to information systems with incomplete information. |
| Additional Information |
| BISAC Categories: - Computers | Data Processing - Computers | Intelligence (ai) & Semantics - Computers | Databases - General |
| Dewey: 006.3 |
| LCCN: 2001055106 |
| Series: Monographs in Theoretical Computer Science. an Eatcs |
| Physical Information: 1.15" H x 6.34" W x 9.54" (1.76 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. |