Uncertainty in Knowledge-Based Systems [electronic resource] : International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems Paris, France, June 30 – July 4, 1986 Selected and Extended Contributions / edited by B. Bouchon, R. R. Yager.

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.