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Beschreibung
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.
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.
Zusammenfassung
This is the first monograph devoted to a theory of information systems with incomplete information inspired by the concept of rough set. The book is self-contained to a large degree, providing detailed derivations of most of the technical results.
Inhaltsverzeichnis
1. Mathematical Prerequisites.- I. Structures with Incomplete Information.- 2. Structures of Information.- 3. Information Relations Derived from Information Systems.- 4. Information Operators Derived from Information Systems.- II. Introduction to Information Logics.- 5. Towards Information Logics.- 6. Techniques for Information Logics.- III. Proof Systems for Information Logics.- 7. Reasoning About Similarity.- 8. Reasoning About Indiscernibility.- 9. Reasoning About Knowledge.- IV. Computational Aspects of Information Logics.- 10. Information Logics Versus Standard Modal Logics.- 11. Decidability of Information Logics.- 12. Complexity of Information Logics.- V. Representability and Duality.- 13. Informational Representability.- 14. Informational Interpretation of Standard Algebraic Structures.- 15. Information Algebras.- References.
Details
Erscheinungsjahr: | 2010 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Monographs in Theoretical Computer Science. An EATCS Series |
Inhalt: |
xviii
408 S. |
ISBN-13: | 9783642075407 |
ISBN-10: | 3642075401 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: |
Orlowska, Ewa
Demri, Stephane P. |
Auflage: | Softcover reprint of hardcover 1st ed. 2002 |
Hersteller: |
Springer-Verlag GmbH
Springer Berlin Heidelberg Monographs in Theoretical Computer Science. An EATCS Series |
Maße: | 235 x 155 x 24 mm |
Von/Mit: | Ewa Orlowska (u. a.) |
Erscheinungsdatum: | 19.10.2010 |
Gewicht: | 0,651 kg |
Zusammenfassung
This is the first monograph devoted to a theory of information systems with incomplete information inspired by the concept of rough set. The book is self-contained to a large degree, providing detailed derivations of most of the technical results.
Inhaltsverzeichnis
1. Mathematical Prerequisites.- I. Structures with Incomplete Information.- 2. Structures of Information.- 3. Information Relations Derived from Information Systems.- 4. Information Operators Derived from Information Systems.- II. Introduction to Information Logics.- 5. Towards Information Logics.- 6. Techniques for Information Logics.- III. Proof Systems for Information Logics.- 7. Reasoning About Similarity.- 8. Reasoning About Indiscernibility.- 9. Reasoning About Knowledge.- IV. Computational Aspects of Information Logics.- 10. Information Logics Versus Standard Modal Logics.- 11. Decidability of Information Logics.- 12. Complexity of Information Logics.- V. Representability and Duality.- 13. Informational Representability.- 14. Informational Interpretation of Standard Algebraic Structures.- 15. Information Algebras.- References.
Details
Erscheinungsjahr: | 2010 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Monographs in Theoretical Computer Science. An EATCS Series |
Inhalt: |
xviii
408 S. |
ISBN-13: | 9783642075407 |
ISBN-10: | 3642075401 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: |
Orlowska, Ewa
Demri, Stephane P. |
Auflage: | Softcover reprint of hardcover 1st ed. 2002 |
Hersteller: |
Springer-Verlag GmbH
Springer Berlin Heidelberg Monographs in Theoretical Computer Science. An EATCS Series |
Maße: | 235 x 155 x 24 mm |
Von/Mit: | Ewa Orlowska (u. a.) |
Erscheinungsdatum: | 19.10.2010 |
Gewicht: | 0,651 kg |
Warnhinweis