Advances in intelligent computing - IPMU '94 : 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4 8, 1994 : Selected papers

This book presents a topical selection of full refereed research papers presented during the 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '94, held in Paris, France in July 1994. The topical focus is on the role of uncerta...

Description complète

Enregistré dans:
Détails bibliographiques
Collectivité auteur: International Conference on Information Processing and Management of Uncertainty in knowledge-based systems :Paris
Autres auteurs: Bouchon-Meunier, Bernadette, 1948- (Directeur de la publication), Yager, Ronald R., 1941- (Directeur de la publication), Zadeh, Lotfi, 1921-2017 (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in computer science 945
Sujets:
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advances in intelligent computing, IPMU '94, 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994, Selected papers, Bernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh (eds.), Berlin, Springer, 1995, 1 vol. (XII-628 p.), Lecture notes in computer science, 3-540-60116-3
• Advances in Intelligent Computing - IPMU '94, Texte imprimé, 9783662180129
Table des matières:
  • Philosophical foundations for causal networks
  • Non standard probabilistic and non probabilistic representations of uncertainty
  • Argumentation systems and evidence theory
  • Algebraic structures related to Dempster-Shafer theory
  • Extension of lower probabilities and coherence of belief measures
  • A note on multi-objective information measures
  • Decision making using belief functions evaluation of information
  • Hybrid propagation in junction trees
  • Heuristic algorithms for the triangulation of graphs
  • Computing marginals from the marginal representation in Markov trees
  • Representation of Bayesian networks as relational databases
  • Decision influence diagrams with fuzzy utilities
  • Causal Networks and their toolkit in KSE
  • Approximations of causal networks by polytrees: an empirical study
  • Evidence propagation on influence diagrams and value of evidence
  • Some varieties of qualitative probability
  • The qualitative verification of quantitative uncertainty
  • Uncertainty management using probability intervals
  • Probabilistic consistency of conditional probability bounds
  • Testing the convenience of a variate for stratification in estimating the Gini-Simpson diversity
  • Fuzzy probabilities and their applications to statistical inference
  • A bayesian functional approach to fuzzy system representation
  • Information matrices associated to (h, ?)-divergence measures: Applications to testing hypotheses
  • Informational energy test for equality of variances
  • Compositive information measure of a fuzzy set
  • Informational time
  • Updating, transition constraints and possibilistic Markov chains
  • Possibilistic logic as interpretability logic
  • A numerical framework for possibilistic abduction
  • Possibility theory and independence
  • Handling hard rules and default rules inpossibilistic logic
  • A general possibilistic framework for reliability theory
  • Possibilistic semantic nets
  • An essay on name and extension of rule-given properties
  • On non-alethic logic
  • Marginal problem in different calculi of AI
  • Implication connectives for logics with right weakening
  • Stochastic logic
  • An approach to handle partially sound rules of inference
  • Using classical theorem-proving techniques for approximate reasoning: Revised report
  • Translation-based deduction methods for modal logics
  • A system of knowledge representation based on formulae of predicate calculus whose variables are annotated by expressions of a fuzzy Terminological Logic
  • Using preference based heuristics to control abductive reasoning
  • Efficient interpretation of prepositional multiple-valued logic programs
  • Many-valued epistemic states. An application to a reflective architecture: Milord-II
  • Acoustical chaotic fractal images for medical imaging
  • Chaos causes perspective reversals for ambiguious patterns
  • Implications of a continuous approach to chaotic modeling
  • Homeostasic control of imbalanced strangeattractors with or without asking to a change in chaotic dynamics
  • A feature based reuse library
  • Managing uncertainty in an object recovery process
  • Juggling in free fall: Uncertainty management aspects of domain analysis methods
  • Hybrid fuzzy metrics for software reusability
  • A program transformation system for software reuse
  • Abstract visualization of software
  • Retrieval of images using Pixel based object models
  • Object recognition based on pattern features
  • Key-picture selection for the analysis of visual speech with fuzzy methods
  • Effective scheduling of tasks under weak temporal interval constraints
  • Introducing contextual information inmultisensor tracking algorithms
  • FAM on grain scheduling control of highly nonlinear and disturbed processes
  • How to choose according to partial evaluations?
  • The role of measurement uncertainty in numeric law induction.