Incomplete Information: Rough Set Analysis

Name: Incomplete Information: Rough Set Analysis
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783790810493
Price: 3938 CZK
Availability: InStock

Autor: Ewa Orlowska

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 13-18 dnů

3 938 Kč

The book presents rough set formalisms and methods of modeling and handling incomplete information a...

Informace o knize

Autor

Ewa Orlowska

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

1997

Stránek

613

EAN

9783790810493

ISBN

3790810495

Enbook ID

01737701

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

2330

Rozměry

155 x 235 x 35

Kompletní popis

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.

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Incomplete Information: Rough Set Analysis

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Kompletní popis

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