Overview
- An up-to-date and highly authoritative account of the current status of the basic theory, extensions and applications of rough sets
- A must reading for anyone who has a serious interest in information processing and knowledge-based systems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 13)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
Similar content being viewed by others
Keywords
Table of contents (19 chapters)
-
Extended Rough Set-Based Deduction Methods
-
Front Matter
-
Editors and Affiliations
Bibliographic Information
Book Title: Incomplete Information: Rough Set Analysis
Editors: Ewa Orłowska
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-7908-1888-8
Publisher: Physica Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1998
Hardcover ISBN: 978-3-7908-1049-3Published: 27 November 1997
Softcover ISBN: 978-3-7908-2457-5Published: 21 October 2010
eBook ISBN: 978-3-7908-1888-8Published: 14 March 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XII, 613
Topics: Theory of Computation, Artificial Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory
Industry Sectors: Aerospace, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications