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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Oktober 2010
Genre:	EDV / Informatik
	Algorithms / ArtificialIntelligence / Calculus / Classification / Fuzzy / incompleteinformation / Information / informationsystem / knowledgediscovery / knowledgerepresentation / Künstliche Intelligenz (KI) / Learning / Logic / machinelearning / Modeling / settheory / Theoretische Informatik / Unternehmensforschung / Wirtschaftstheorie und -philosophie mehr...
ISBN:	9783790824575
EAN-Code:	9783790824575
Verlag:	Physica
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 34 mm
Gewicht:	937 gr
Seiten:	628
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.