Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The combination of fuzzy decision making and fuzzy control in this book can lead to novel control schemes that improve the existing controllers in various ways. The following applications of fuzzy decision making methods for designing control systems are considered:

• Fuzzy decision making for enhancing fuzzy modeling. The values of important parameters in fuzzy modeling algorithms are selected by using fuzzy decision making.
• Fuzzy decision making for designing signal-based fuzzy controllers. The controller mappings and the defuzzification steps can be obtained by decision making methods.
• Fuzzy design and performance specifications in model-based control. Fuzzy constraints and fuzzy goals are used.
• Design of model-based controllers combined with fuzzy decision modules. Human operator experience is incorporated for the performance specification in model-based control.

The advantages of bringing together fuzzy control and fuzzy decision making are shown with multiple examples from real and simulated control systems.

Contents:

• Fuzzy Decision Making
• Fuzzy Decision Functions
• Fuzzy Aggregated Membership Control
• Modeling and Identification
• Fuzzy Decision Making for Modeling
• Fuzzy Model-Based Control
• Performance Criteria
• Model-Based Control with Fuzzy Decision Functions
• Derivative-Free Optimization
• Advanced Optimization Issues
• Application Example
• Future Developments
• Appendices:
• Model-Based Predictive Control
• Nonlinear Internal Model Control