Incomplete Information

Structure, Inference, Complexity

Stéphane P. Demri, Ewa S. Orlowska

406 pages, parution le 11/07/2002

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Résumé

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.

Contents

1. Mathematical Prerequisites

Part I. Structures with Incomplete Information
2. Structures of Information
3. Information Relations Derived from Information Systems
4. Information Operators Derived from Information Systems

Part II. Introduction to Information Logics
5. Towards Information Logics
6. Techniques for Information Logics

Part III. Proof Systems for Information Logics
7. Reasoning About Similarity
8. Reasoning About Indiscernibility
9. Reasoning About Knowledge

Part IV. Computational Aspects of Information Logics
10. Information Logics Versus Standard Modal Logics
11. Decidability of Information Logics
12. Complexity of Information Logics

Part V. Representability and Duality
13. Informational Representability
14. Informational Interpretation of Standard Algebraic Structures
15. Information Algebras

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Stéphane P. Demri, Ewa S. Orlowska
Parution	11/07/2002
Nb. de pages	406
Format	16 x 24
Couverture	Relié
Poids	800g
Intérieur	Noir et Blanc
EAN13	9783540419044