A Methodology for Uncertainty in Knowledge-Based Systems (Paperback, 1990 ed.)

In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 419
Release date:	March 1990
First published:	1990
Authors:	Kurt Weichselberger • Sigrid Poehlmann
Dimensions:	279 x 216 x 8mm (L x W x T)
Format:	Paperback
Pages:	310
Edition:	1990 ed.
ISBN-13:	978-3-540-52336-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN:	3-540-52336-7
Barcode:	9783540523369

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