Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods (Artificial Intelligence) - Hardcover

Kruse, Rudolf; Etc.; Schwecke, E.; Heinsohn, J.

 
9783540541653: Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods (Artificial Intelligence)
Hardcover
ISBN 10: 3540541659 ISBN 13: 9783540541653
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1991

Inhaltsangabe

The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. Particular emphasis is put on a thorough analysis of these phenomena and on the development of sound mathematical modelling approaches. The scope of the book also includes implementational aspects and a valuation of existing models and systems. The fundamental claim of the book is that vagueness and uncertainty can be handled adequately by using measure theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms shows that efficiency requirements do not necessarily require renunciation of an uncompromising mathematical modelling approach. The results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions. The book is self-contained and addresses researchers and practitioners in the field of knowledge based systems and decision support systems. This monograph on computer science, artificial intelligence, knowledge based systems, applied mathematics, probability theory, statistics and operations research is intended for researchers, practitioners, and advanced students.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Reseña del editor

The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. Particular emphasis is put on a thorough analysis of these phenomena and on the development of sound mathematical modelling approaches. The scope of the book also includes implementational aspects and a valuation of existing models and systems. The fundamental claim of the book is that vagueness and uncertainty can be handled adequately by using measure theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms shows that efficiency requirements do not necessarily require renunciation of an uncompromising mathematical modelling approach. The results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions. The book is self-contained and addresses researchers and practitioners in the field of knowledge based systems and decision support systems. This monograph on computer science, artificial intelligence, knowledge based systems, applied mathematics, probability theory, statistics and operations research is intended for researchers, practitioners, and advanced students.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Erscheinungsdatum
1991
Sprache
Englisch
ISBN 10 
3540541659
ISBN 13 
9783540541653
Einband
Tapa dura
Anzahl der Seiten
502
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783642767043: Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods (Artificial Intelligence)

Vorgestellte Ausgabe

ISBN 10:  3642767044 ISBN 13:  9783642767043
Verlag: Springer, 2011
Softcover