Product 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.
Excerpted from Fuzzy Decision Making in Modeling and Control (World Scientific Series in Robotics & Intelligent Systems) by Joao Miguel Da Costa Sousa. Copyright © 2003. Reprinted by permission. All rights reserved.
Since Lotfi Zadeh's introductory paer in 1965, the fuzzy set theory and the applications of fuzzy systems have come a long way. The initial hesitation, even the hostile reaction to fuzzy set theory has left its place to enthusiasm, or at least tolerance for fuzzy systems. The successes of the practical application of fuzzy set theory in fuzzy systems is an important factor for the change of attitude towards the fuzzy set theory. Control engineering has contributed significantly to the number of successful applications of fuzzy systems, including the first industrial application of
fuzzy system. Today, fuzzy modeling and control have taken their place amongst the tools of control engineers for designing control systems. In contrast, fuzzy decision making methods have been applied to a smaller degree, comparatively, although the literature on the basics of fuzzy decision making extends back to the beginning of 1970's. Despite the fact that decision making and control are related fields, the combination of fuzzy control methods and fuzzy decision making methods has hardly been investigated. This book addresses the combination of the two fields. It is shown that looking at control problems from a fuzzy decision making perspective leads to new insights, which can be used for the design of improved control systems.
This book presents various ways in which fuzzy decision making methods can be applied to systems modeling and control for the design of fuzzy controllers. It consists of three parts. In the first part, which consists of Chapters 2-4, basics of fuzzy decision making as used in the remaining chapters are explained. This part also includes a description of how direct fuzzy controllers can be designed by applying directly the theory of fuzzy decision making to controller design. The second part of the book consists of Chapters 5-9. The main focus of the book, including various forms of fuzzy model-based control (FMBC) and the use of fuzzy decision making in FMBC, is found in this part. In the third part, which consists of Chapters 10-13, we discuss optimization issues in the presented control schemes, and we give an example of a real-world application. Finally, some guidelines
for future research in FMBC are also discussed.
With an Amazon.co.uk Gift Certificate, you can get them what they want (even if you don't know what that is). 
Amazon Home
