Incomplete Information: Structure, Inference, Complexity

Author:   Stephane P. Demri ,  Ewa Orlowska
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2002
ISBN:  

9783642075407


Pages:   408
Publication Date:   19 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Incomplete Information: Structure, Inference, Complexity


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Overview

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.

Full Product Details

Author:   Stephane P. Demri ,  Ewa Orlowska
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2002
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   0.658kg
ISBN:  

9783642075407


ISBN 10:   3642075401
Pages:   408
Publication Date:   19 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

From the reviews of the first edition: This monograph presents a systematic, exhaustive and up to date overview of formal methods and theories related to data analysis and inference using the concept of rough sets. ... In a nutshell, it is an interesting book for researchers and scientists in the area of information structure. (Prabhat Kumar Mahanti, Zentralblatt MATH, Vol. 1016, 2003) The present monograph gives a systematic presentation of the theory related to the ... relation-based knowledge representation and the underlying logics and algebras. ... The structure of this book is clear. ... The book is written to be self-contained ... . The references section of this book is excellent ... . The book can be recommended to researchers and graduate students interested in rough-set-style reasoning and knowledge representation. Also for lecturers this provides a great source ... . (Jouni Jarvinen, Studia Logica, Vol. 89 (3), 2006)


From the reviews of the first edition: This monograph presents a systematic, exhaustive and up to date overview of formal methods and theories related to data analysis and inference using the concept of rough sets. ! In a nutshell, it is an interesting book for researchers and scientists in the area of information structure. (Prabhat Kumar Mahanti, Zentralblatt MATH, Vol. 1016, 2003) The present monograph gives a systematic presentation of the theory related to the ! relation-based knowledge representation and the underlying logics and algebras. ! The structure of this book is clear. ! The book is written to be self-contained ! . The references section of this book is excellent ! . The book can be recommended to researchers and graduate students interested in rough-set-style reasoning and knowledge representation. Also for lecturers this provides a great source ! . (Jouni Jarvinen, Studia Logica, Vol. 89 (3), 2006)


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