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    Copyright
    Prentice Hall Series on Environmental and Intelligent Manufacturing Systems
    Foreword
    Preface
    Contributors
    Ch. 1. Introduction
    Ch. 2. Set Theory — Classical and Fuzzy Sets
    Ch. 3. Propositional Calculus — Predicate Logic and Fuzzy Logic
    Ch. 4. Fuzzy Rule-Based Expert Systems I
    Ch. 5. Fuzzy Rule-Based Expert Systems II
    Introduction
    Special Cases of Fuzzy Dynamic System Models
    Special Classes of Fuzzy Rule-Based Expert System Models
    Graphical Computation Techniques for FRBES Models
    Defuzzification Process
    Partitioning of Spaces and Assignment of Membership Functions
    Fuzzy Associative Memory (FAM) Tables
    Conclusions
    References
    Ch. 6. Fuzzy Logic Software and Hardware
    Ch. 7. A Fuzzy Two-Axis Mirror Controller for Laser Beam Alignment
    Ch. 8. Introduction of Fuzzy Sets in Manufacturing Planning
    Ch. 9. A Comparison of Crisp and Fuzzy Logic Methods for Screening Enhanced Oil Recovery Techniques
    Ch. 10. A Fuzzy Logic Rule-Based System for Personnel Detection
    Ch. 11. Using Fuzzy Logic to Automatically Configure a Digital Filter
    Ch. 12. Simulation of Traffic Flow and Control Using Fuzzy and Conventional Methods
    Ch. 13. A Fuzzy Geometric Pattern Recognition Method with Learning Capability
    Ch. 14. Fuzzy Control of Robotic Manipulator
    Ch. 15. Use of Fuzzy Logic Control in Electrical Power Generation
    Ch. 16. Fuzzy Logic Control of Resin Curing
    Ch. 17. Fuzzy Logic Control in Flight Control Systems
    Ch. 18. Tuning of Fuzzy Logic Controllers by Parameter Estimation Method
    Author Index
    Subject Index
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    Chapter 5. Fuzzy Rule-Based Expert Systems II

    5. Fuzzy Rule-Based Expert Systems II

    Nader Vadiee
    University of New Mexico

    This chapter originally appealed in the journal Intelligent and Fuzzy Systems: Applications in Engineering and Technology, March 1993. Used here by permission.


      

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