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Uncertainty and Vagueness in Knowledge Based Systems - Numerical Methods (Paperback, Softcover reprint of the original 1st ed. 1991)
Loot Price: R2,850
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Uncertainty and Vagueness in Knowledge Based Systems - Numerical Methods (Paperback, Softcover reprint of the original 1st ed. 1991)
Series: Artificial Intelligence
Expected to ship within 10 - 15 working days
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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."
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