Uncertainty in intelligent systems

著者

書誌事項

Uncertainty in intelligent systems

edited by Bernadette Bouchon-Meunier, Llorenc Valverde, Ronald R. Yager

North-Holland, 1993

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注記

"The material in this volume was selected from presentations made at the Fourth, IPMU, International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems held on Mallorca in the Balearic Islands in Spain" -- Pref

Includes bibliographical references

内容説明・目次

内容説明

Leading experts in the field of uncertainty in intelligent systems have contributed articles to this book. The book includes works from the three major paradigms available for representation of uncertainty in intelligent systems; fuzzy set theory, probability theory and mathematical theory of evidence. The articles cover some of the most important aspects of this new, fast developing field. Sections are devoted to reasoning with uncertainty, network based methods, fuzzy set methods, analyzing uncertain data, measures of information and aspects of social and behavioural issues. The book is of use to both state of the art researchers as well as industrial and government workers seeking techniques and applications to solve their problems.

目次

  • Part 1 Network-based reasoning: valuation networks, decision trees and influence diagrams - a comparison, P.P. Shenoy
  • propagation of convex sets of probabilities in directed acyclic networks, J.E. Cano et al
  • local propagation of information on directed Markov trees, S. Sandri
  • approximations of probability distributions by three types of graph models, R. Jirousek
  • using Bayesian algorithms for learning causal networks in classification problems, R. Molina et al
  • convergence of causal probabilistic networks, R. Matthes and U.G. Oppel. Part 2 Reasoning with uncertainty: deriving Dempster's rule, P. Hajek
  • independence concepts in upper and lower probabilities, L.M. de Campos and J.F. Huete
  • a mass assignment theory and memory based reasoning, J.F. Baldwin
  • conditional events and subjective probability in management of uncertainty, A. Gilio
  • how to solve some critical examples by a proper use of coherent probability, R. Scozzafava
  • handling uncertainty and incompleteness with multiple lines of reasoning, T. Chehire et al
  • an entropy formulation of evidential measures and their application to real-world problem solving, L.P. Wesley
  • properties of probabilistic relations, J. Jacas and Recasens
  • description of conditional independence structures by means of imsets - a connection with product formula validity, M. Studeny
  • weak coherence condition for conditional comparative probabilities, G. Coletti
  • uncertainty and inference through approximate sets, J. Miro and J. Miro-Julia
  • an efficient tool for reasoning with belief functions, H. Xu. Part 3 Fuzzy set methods: a fuzzy expert system for on-line diagnosis, M. Fathi et al
  • fuzzy cellular automata - a practical approach to fuzzy differential equations, J.F. Baldwin et al
  • analogical reasoning and fuzzy resemblance, B. Bouchon-Meunier and L. Valverde
  • triangular fuzzy relational compositions revisited, P. De Baets and E.E. Kerre
  • modelling support system for ecological application based on fuzzy logic, A. Salski and P. Kandzia
  • on the least models of fuzzy datalog programmes, A. Kiss
  • resolution criteria for algebraic equations with fuzzy parameters, S. Teghbit and N. Malvache
  • a Petri net based fuzzy PLC for linear interplotion between control steps, J.C. Pascal and R. Valette. Part 4 Analysis of uncertain data. Part 5 Measures of information. Part 6 Uncertainty in social and behavioural sciences.

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