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010   $a3-540-46964-8
024 7 $a10.1007/BFb0037513
035   $a(CKB)1000000000548769
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035   $a(PQKBTitleCode)TC0000324800
035   $a(PQKBWorkID)10314943
035   $a(PQKB)10441113
035   $a(DE-He213)978-3-540-46964-3
035   $a(PPN)155219332
035   $a(EXLCZ)991000000000548769
100   $a20121227d1990      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 12$aA Methodology for Uncertainty in Knowledge-Based Systems$b[electronic resource] /$fby Kurt Weichselberger, Sigrid Pöhlmann
205   $a1st ed. 1990.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1990.
215   $a1 online resource (X, 310 p.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v419
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-52336-7 
327   $aThe 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.
330   $aIn this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.
410  0$aLecture Notes in Artificial Intelligence ;$v419
606   $aArtificial intelligence
606   $aProbabilities
606   $aStatistics 
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
606   $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X
615  0$aArtificial intelligence.
615  0$aProbabilities.
615  0$aStatistics .
615 14$aArtificial Intelligence.
615 24$aProbability Theory and Stochastic Processes.
615 24$aStatistics, general.
676   $a006.3/3
700   $aWeichselberger$b Kurt$4aut$4http://id.loc.gov/vocabulary/relators/aut$0745575
702   $aPöhlmann$b Sigrid$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a996465947603316
996   $aMethodology for uncertainty in knowledge-based systems$91487140
997   $aUNISA