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＜電子ブック＞
A Methodology for Uncertainty in Knowledge-Based Systems / by Kurt Weichselberger, Sigrid Pöhlmann
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 419)

版	1st ed. 1990.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1990
本文言語	英語
大きさ	X, 310 p : online resource
著者標目	*Weichselberger, Kurt author Pöhlmann, Sigrid author SpringerLink (Online service)
件　名	LCSH:Artificial intelligence LCSH:Probabilities LCSH:Statistics  FREE:Artificial Intelligence FREE:Probability Theory FREE:Statistics
一般注記	The aims of this study -- Interval estimation of probabilities -- Related theories -- The simplest case of a diagnostic system -- Generalizations -- Interval estimation of probabilities in diagnostic systems -- A demonstration of the use of interval estimation 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 HTTP:URL=https://doi.org/10.1007/BFb0037513

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