Approximate Reasoning in Intelligent Systems, Decision and Control
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Documents realistic applications of approximate reasoning techniques, with emphasis placed on operational systems. The papers presented explore new areas of practical decision-making and control systems by considering important aspects of fuzzy logic theory and the latest developments in the field of expert systems. Specific fields of application covered include modelling and control, management, planning, diagnostics, finance and software. Contains 12 papers.
For managers, planners and economists.
Table of Contents
- Fuzzy hardware systems of tomorrow, T Yamakawa. Functional requirements for a fuzzy expert system shell, W Siler et al. An uncertainty calculus for expert systems, J F Baldwin. Automatic generation of verbal comments on results of mathematical modelling, V Novak. Portfolio analysis using possibility distributions, J J Buckley. A fuzzy decision support system for strategic planning, N Green Hall. A clinical alarm system using techniques from artificial intelligence and fuzzy set theory, S J Henkind et al. Learning from examples in presence of uncertainty, F Bergadano et al. Use of fuzzy logic in a rule-based system in petroleum geology, J Lebailly et al. Rule-based process control using fuzzy logic, J Efstathiou. Diagnosis based on subjective information in a solar energy plant, A Asse et al. Diagnostics of faulty states in complex physical systems using fuzzy relational equations, J Kitowski & M Bargiel.
- No. of pages: 202
- Language: English
- Copyright: © Pergamon 1987
- Published: March 31, 1987
- Imprint: Pergamon
- eBook ISBN: 9781483294384
About the Editors
Affiliations and Expertise
BISC Program, Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA, USA
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