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
Published on 4. November 1987
Book
Paperback/Softback
VIII, 412 pages
978-3-540-18579-6 (ISBN)
Description
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.
More details
Series
Edition
1987 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VIII, 412 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 23 mm
Weight
633 gr
ISBN-13
978-3-540-18579-6 (9783540185796)
DOI
10.1007/3-540-18579-8
Schweitzer Classification
Persons
Content
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.