Uncertainty in Knowledge-Based Systems: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, June 30 - July 4, 1986. Selected and Extended Contributions

Author:   Bernadette Bouchon ,  Ronald R. Yager
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1987 ed.
Volume:   286
ISBN:  

9783540185796


Pages:   412
Publication Date:   04 November 1987
Format:   Paperback
Availability:   In Print   Availability explained
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Uncertainty in Knowledge-Based Systems: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, June 30 - July 4, 1986. Selected and Extended Contributions


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Author:   Bernadette Bouchon ,  Ronald R. Yager
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1987 ed.
Volume:   286
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   1.290kg
ISBN:  

9783540185796


ISBN 10:   3540185798
Pages:   412
Publication Date:   04 November 1987
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

On the management of information imperfection in knowledge based systems.- Representing knowledge and evidence for decision.- Possibilistic qualification and default rules.- Propagation of uncertainties and inaccuracies in knowledge-based system.- Qualitative Markov networks.- The principle of minimum specificity as a basis for evidential reasoning.- Approximate inference and interval probabilities.- Derivation of some results on monotone capacities by Mobius inversion.- Using probability-density functions in the framework of evidential reasoning.- O-theory: A probabilistic alternative to fuzzy set theory.- Efficient deduction in fuzzy logic.- Fuzziness and expert system generation.- Fuzzy preferences in decision-making.- An axiomatics for fuzzy information.- Knowledge modelling in fuzzy expert systems.- Some recent advances on the possibility measure theory.- Probabilistic inferential engines in expert systems: How should the strength of rules be expressed?.- A framework for assigning probabilities in knowledge-based systems.- Probabilistic reasoning using graphs.- A calculus for belief-intervals representation of uncertainty.- Knowledge base organization in expert systems.- A consistency-recovering system for inference engines.- Credibility of abducible multiple causes of observed effects.- Use of pattern classification in medical decision making.- The use of fuzzy information retrieval techniques in construction of multi-centre knowledge-based systems.- Application of possibility and necessity measures to documentary information retrieval.- The use of fuzzy information retrieval in knowledge-based management of patients' clinical profiles.- Management of uncertainty in a medical expert system.- Consensus and knowledge acquisition.- Knowledge representation model which combines conceptual graphs and fuzziness for machine learning.- An investigation of pictographic form in relation to mechanisms of knowledge acquisition.- HOLMES-I, a prolog-based reason maintenance system for collecting information from multiple experts.- Modeling uncertainty in human perception.- Uncertainty reduction techniques in an expert system for fault tree construction.- Characterizing information measures: Approaching the end of an era.- Characterization of some measures of information theory and the sum form functional equations - Generalized directed divergence - I.- Information gain with preference.- Information entropy and state observation of a dynamical system.

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