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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| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Col·lecció: | Lecture notes in computer science
286 |
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| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • 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, B. Bouchon, R. R. Yager (Eds.), Berlin, Springer-Verlag, 1987, 1 vol. (VIII-405 p.), Lecture notes in computer science, 3-540-18579-8 • Uncertainty in Knowledge-Based Systems, Texte imprimé, 9783662183830 |
Taula de continguts:
- 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.