Incomplete Information: Structure, Inference, Complexity
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Beschreibung
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.
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
Autor*in
Stephane P. Demri
Themen in »Incomplete Information: Structure, Inference, Complexity«
complexity data analysis deduction incomplete information information system knowledge rough set algorithm analysis and problem complexity
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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)
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