ISBN: 9783790810493 - incomplete information: rough set analysis (studies in fuzziness and soft computing vol. 13) (6 Ergebnisse)

Hardcover. Zustand: Very Good. pp.xii, 613 pages, a very good plus hardback, publisher's original orange and brown binding with white and brown lettering to the spine and front cover - as shown in the stock photo [3790810495].

Zustand: New. An up-to-date and highly authoritative account of the current status of the basic theory, extensions and applications of rough setsA must reading for anyone who has a serious interest in information processing and knowledge-based systemsIn 1982, Pro.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 613 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 613 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Zustand: Neu. Neuware - 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.; The book presents rough set formalisms and methods of modeling and handling incomplete information and motivates their applicability to knowledge representation, knowledge discovery and machine learning. The book focuses on providing representational and inference mechanisms for dealing with two particular aspects of incompleteness, namely indiscernibility and similarity. Those manifestations of particular aspects of incompleteness are inherent in any data structure and any cognitive unit. Knowledge discovered from such an information is uncertain in that it can only be asserted with a tolerance. The methods developed in the book are capable of exposing the limits of that tolerance and of making reliable inferences in the environments where complete information is not available.…

Zustand: As New. Unread book in perfect condition.