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Incomplete Information: Structure, Inference, Complexity
Stephane P. DemriEwa Orlowska
出版Springer Science & Business Media, 2002-07-03
主題Mathematics / LogicComputers / Online ServicesComputers / System Administration / Storage & RetrievalComputers / Intelligence (AI) & SemanticsComputers / Programming / AlgorithmsMathematics / Discrete MathematicsComputers / Information TechnologyComputers / Computer ScienceComputers / Internet / General
ISBN35404190479783540419044
URLhttp://books.google.com.hk/books?id=56ByIIcXszsC&hl=&source=gbs_api
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註釋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.