edited by Da Ruan (Belgian Nuclear Research Centre, Belgium), Pierre D'hondt (Belgian Nuclear Research Centre, Belgium), & Etienne E Kerre (Ghent University, Belgium)

FLINS is an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science. FLINS 2002 is the fifth in a series of FLINS conferences and covers state-of-the-art research and development in computational intelligence for applied research in general and for nuclear science and engineering in particular. This book outlines the trends in computational intelligence in control, decision-making, and nuclear engineering, and presents the latest developments of computational intelligent systems in applied research and nuclear applications.

• Trends in Computational Intelligence in Nuclear Engineering (R E Uhrig)
• Possibility Theory in Decision Support Systems (H Prade)
• Computing with Words-Semantics (P P Wang)
• Computing with Words: The Concept of Conformity (M Gemeinder)
• A Strong Relevant Logic Approach to the Calculus of Fuzzy Conditionals (J Cheng & Y Goto)
• Underlying Criteria in Valued Preference Relations (J Montero et al.)
• Dynamic Clustering Based on Maximum Frequent Itemsets for Analysing Purchase Pattern (Y Zhao & P Shi)
• An Architecture Model of Intelligent Agents System to Approach Problems of Distributed Knowledge (F Llorens et al.)
• Generalized Predictive Control with Fuzzy Constraints Simulation (S Li et al.)
• Analysis and Modeling of Field Device Tool Interfaces (W Zhang & C Diedrich)
• A Modular Neural Network Classifier for the Recognition of Occluded Characters in Automatic License Plate Reading (J A G Nijhuis et al.)
• Annoyance Prediction with Fuzzy Rule Bases (A Verkeyn & D Botteldooren)
• Fuzzy Adaptive Robust Tracking Control for a Class of Uncertain Nonlinear Systems and Its Application (Y Yang & C Zhou)
• Adaptive Fuzzy Neural Control of Nonlinear Systems (Y Gao et al.)
• Synthesis and Evaluation Analysis of the Physical Model Indicator Information by Computing with Words (J Liu et al.)
• Application of Localized Regularization Methods for Nuclear Power Plant Sensor Calibration Monitoring (M A Buckner et al.)
• and other papers