Fuzzy Decision Making in Modeling and Control (World Scientific Series in Robotics and Intelligent Systems)

Description

Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This text bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modelling and control. Fuzzy decision making is a powerful paradigm for dealing with human expert knowledge when one is designing fuzzy model-based controllers. The authors hope that the combination of fuzzy decision making and fuzzy control that they present here will 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 modelling - the values of important parameters in fuzzy modelling 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; and 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.