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Uncertainty and Vagueness in Knowledge Based Systems - Numerical Methods (Paperback, Softcover reprint of the original 1st ed. 1991) Loot Price: R3,085
Discovery Miles 30 850
Uncertainty and Vagueness in Knowledge Based Systems - Numerical Methods (Paperback, Softcover reprint of the original 1st ed....

Uncertainty and Vagueness in Knowledge Based Systems - Numerical Methods (Paperback, Softcover reprint of the original 1st ed. 1991)

Rudolf Kruse, Erhard Schwecke, Jochen Heinsohn

Series: Artificial Intelligence

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Loot Price R3,085 Discovery Miles 30 850 | Repayment Terms: R289 pm x 12*

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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. It puts particular emphasis on a thorough analysis of these phenomena and on the development of sound mathematical modeling approaches. Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems. The fundamental ambition of this book is to show that vagueness and un certainty can be handled adequately by using measure-theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms substantiates the claim that efficiency requirements do not necessar ily require renunciation of an uncompromising mathematical modeling. These 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 intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems. It is in particular suit able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical background is necessary for reading this book. Essential parts of the material have been the subject of courses given by the first author for students of computer science and mathematics held since 1984 at the University in Braunschweig."

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Artificial Intelligence
Release date: December 2011
First published: 1991
Authors: Rudolf Kruse • Erhard Schwecke • Jochen Heinsohn
Dimensions: 235 x 155 x 26mm (L x W x T)
Format: Paperback
Pages: 491
Edition: Softcover reprint of the original 1st ed. 1991
ISBN-13: 978-3-642-76704-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-76704-4
Barcode: 9783642767043

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