Overview
- First monograph devoted to a theory of information systems with incomplete information inspired by the concept of rough set.
- Includes supplementary material: sn.pub/extras
Part of the book series: Monographs in Theoretical Computer Science. An EATCS Series (EATCS)
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Table of contents (15 chapters)
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Front Matter
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Mathematical Prerequisites
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Structures with Incomplete Information
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Front Matter
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Introduction to Information Logics
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Front Matter
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Proof Systems for Information Logics
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Front Matter
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Computational Aspects of Information Logics
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Front Matter
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Representability and Duality
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Front Matter
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Keywords
About this book
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 Järvinen, Studia Logica, Vol. 89 (3), 2006)
Authors and Affiliations
Bibliographic Information
Book Title: Incomplete Information: Structure, Inference, Complexity
Authors: Stéphane P. Demri, Ewa S. Orłowska
Series Title: Monographs in Theoretical Computer Science. An EATCS Series
DOI: https://doi.org/10.1007/978-3-662-04997-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Hardcover ISBN: 978-3-540-41904-4Published: 03 July 2002
Softcover ISBN: 978-3-642-07540-7Published: 19 October 2010
eBook ISBN: 978-3-662-04997-6Published: 18 April 2013
Series ISSN: 1431-2654
Series E-ISSN: 2193-2069
Edition Number: 1
Number of Pages: XVIII, 408
Topics: Mathematical Logic and Formal Languages, Models and Principles, Information Storage and Retrieval, Artificial Intelligence, Algorithm Analysis and Problem Complexity