Incomplete Information: Structure, Inference, Complexity
By: by Stéphane P. Demri, Ewa S. Orłowska
Contributors: Orłowska, Ewa S.
Series: Monographs in Theoretical Computer Science An EATCS Series; Monographs in Theoretical Computer Science An EATCS Series
Publisher: Springer Berlin Heidelberg
Published: 2002
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 408
ISBN-13: 9783642075407; 9783662049976
Subjects: Information storage and retrieval systems; Computer science; Artificial intelligence; Computer software
Description: 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.
Notes: Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.