Fuzzy Decision Making in Modeling and Control

Author: Joao M. C. Sousa
Edition:
Publisher: World Scientific Pub Co Inc
Binding: Hardcover
ISBN: 9810248776
Category: Programming
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Fuzzy Decision Making in Modeling and Control (World Scientific Series in Robotics and Intelligent Systems)

Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. Programming books Fuzzy Decision Making in Modeling and Control pdf. 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. Download books Fuzzy Decision Making in Modeling and Control (World Scientific Series in Robotics and Intelligent Systems) pdf via mediafire, 4shared, rapidshare.

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Physica-Verlag 9783790813852 Fuzzy Modeling and Control (2001 Edition) Description In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be

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Store Search search Title, ISBN and Author Fuzzy Modeling and Control by Andrezej Piegat, Andrzej Piegat Estimated delivery 3-12 business days Format Hardcover Condition Brand New In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models ob

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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. Download free Fuzzy Decision Making in Modeling and Control (World Scientific Series in Robotics and Intelligent Systems) pdf