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Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry cover

Following FLINS '94 and FLINS '96, the first and second International Workshops on Fuzzy Logic and Intelligent Technologies in Nuclear Science, FLINS '98 covers recent developments, both of a foundational and applicational character, in the fields of intelligent techniques such as fuzzy logic, neural networks, genetic algorithms, robotics, man–machine interface and decision–support systems within nuclear science and related research fields.

This volume clearly shows the leading role of FLINS as a forum for the applications of new intelligent techniques in the nuclear domain.


Contents:
  • Fuzzy Mathematics and Applications:
    • The Dizzy Number of Fuzzy Implication Operators on Finite Chains (M Nachtegael & E E Kerre)
    • Towards a Descriptive Evaluative of Aggregation Models in Fuzzy Decision Support Systems (A Tocatlidou)
    • Estimating Fractal Dimension Using Fuzzy Model (X Zeng et al.)
  • Softcomputing and Intelligent Engineering Applications:
    • The Calibration of the Normal Information Diffusion Model and Its Application in Risk Assessment of Natural Disaster (Y Leung & C F Huang)
    • Possibilistic Decision Making in Sensor Systems (A G Huizing & F C A Groen)
    • On Analog Implementation of Discrete Neural Networks (V Beiu & K R Moore)
  • Nuclear Science and Industrial Applications:
    • Determination of Funding Requirements in Radioactive Waste Management Projects Using Fuzzy Reasoning (P L Kunsch & A Ajdler)
    • A Small Scale Simulator of the Pressurizer with Expert System (L L E Hardy et al.)
    • The Challenges for Telerobotics in a Nuclear Environment (M Decreton et al.)
  • and other papers

Readership: Nuclear engineers, computer scientists, software engineers, programmers, civil engineers and applied mathematicians.