edited by B Bouchon-Meunier (Universite Paris VI) , R R Yager (Iona College) , & L A Zadeh (University of California, Berkeley)

This book is a collection of articles on the technologies needed for the construction of intelligent and information systems, and particularly on the role of uncertainty. The articles, written by some of the world's leading experts, cover the management of uncertainty and the modeling of intelligent and information systems. Issues related to optimization and learning in the face of uncertainty are discussed. Some of the articles describe applications to data fusion, document retrieval, risk management and nuclear plant control. Applications to the automation of human sensory skills are also presented. Techniques drawn from the disciplines of fuzzy logic, neural networks, genetic algorithms and other constituents of soft computing are used throughout the book.

• Uncertainty Management:
  • Data Mining by the Self-Organizing Map Method (T Kohonen)
  • Toward a Theory of Fuzzy Veristic Variables (R R Yager)
  • A Generalizing Look at Sigma Counts of Fuzzy Sets (M Wygralak)
  • A Qualitative Approach for Processing Uncertainty (H Seridi & H Akdag)
  • A Simple Possibilistic Modelization of Measurement Uncertainty (V Lasserre et al.)
  • Analogy as a Basis of Various Forms of Approximate Reasoning (B Bouchon-Meunier et al.)
  • Extension of Totally Coherent Interval-Valued Probability Assessments (A Gilio & S Ingrassia)
• Systems Modelling:
  • Modelling, Simulation and Behavior Identification of Nonlinear Dynamical Systems with a New Fuzzy–Fractal–Genetic Approach (O Castillo & P Melin)
  • Supervisory Fuzzy Controller (J J Buckley & T Feuring)
  • Hierarchical Fuzzy Logic Control (M Mohammadian & R J Stonier)
• Learning and Optimization:
  • A Machine Learning Technique for Helping the Knowledge Acquisition Process (J L Castro et al.)
  • Use of Attribute Selection Criteria in Decision Trees in Uncertain Domains (B Crémilleux & C Robert)
  • Mass Assignment Based Induction of Linguistic Decision Trees (J F Baldwin et al.)
  • Using Maximum Entropy to Estimate Missing Information in Tree-Like Causal Networks (G R Garside et al.)
  • Why Leximin FCSPs are So Hard for Local Search (J Moura Pires et al.)
  • Neural Relevance Feedback for Information Retrieval (F Crestani)
  • GA-P-Based Feature Selection and Classification Combining Different Methods of Texture Analysis (F Cano et al.)
• Applications:
  • Data Fusion Using a Multi-Agent Architecture Application to Artillery Localization (S Gatepaille et al.)
  • Fuzzy Decision Trees to Extract Features of Odorous Molecules (C Marsala et al.)
  • Document Retrieval from Multiple Sources of Information (G Pasi & R R Yager)
  • The Progressing of Fuzzy-Logic Control Applications to the Belgian Reactor 1 (D Ruan)
  • Audit Risk Assessment: An Imperfect Knowledge-Based Model (C Lesage)
  • Operational Risk Measurement in Financial Institutions: A Fuzzy Logic Approach (S Scandizzo)