Uncertainty in Knowledge-Based Systems

Inhaltsverzeichnis

• 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.