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A Methodology for Uncertainty in Knowledge-Based Systems (English, Kurt Weichselberger | Sigrid Pöhlmann)
Springer

A Methodology for Uncertainty in Knowledge-Based Systems (English, Kurt Weichselberger | Sigrid Pöhlmann)

by Kurt Weichselberger | Sigrid Pöhlmann

Publisher: Springer

Language: English

5,446

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Specifications

PublisherSpringer
LanguageEnglish
ISBN-139783540523369
ISBN-103540523367
AuthorKurt Weichselberger | Sigrid Pöhlmann

Product Description

Here on GlowMirror, you'll find A Methodology for Uncertainty in Knowledge-Based Systems filed under Springer -- everything you need to know is covered below.

About the Book

The superiority of consequent probabilistic methods for handling and combining uncertainty in expert systems, compared with well known rules like the Dempster-Shafer rule or the MYCIN rule, is demonstrated, even in the case of interval valued probability estimates.

ISBN: 9783540523369

Book Insights

What You'll Learn

  • ·In-depth exploration of topics covered in A Methodology for Uncertainty in Knowledge-Based Systems
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in Springer

Who Should Read This

Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.

Key Highlights

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  • ·15-day hassle-free return policy

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A Methodology for Uncertainty in Knowledge-Based Systems is available in English on GlowMirror.
Who is the author of A Methodology for Uncertainty in Knowledge-Based Systems?
A Methodology for Uncertainty in Knowledge-Based Systems is authored by Kurt Weichselberger | Sigrid Pöhlmann.
Who published A Methodology for Uncertainty in Knowledge-Based Systems?
A Methodology for Uncertainty in Knowledge-Based Systems is published by Springer.
How many pages does A Methodology for Uncertainty in Knowledge-Based Systems have?
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What is A Methodology for Uncertainty in Knowledge-Based Systems about?
About the Book The superiority of consequent probabilistic methods for handling and combining uncertainty in expert systems, compared with well known rules like the Dempster-Shafer rule or the MYCIN rule, is demonstrated, even in the case of interval valued probability estimates. ISBN: 978354052...
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