Fuzzy decision making in modeling and control:
Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book 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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2002
|
| Schriftenreihe: | World Scientific series in robotics and intelligent systems
v. 27 |
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book 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 modeling and control. 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 |
| Beschreibung: | xix, 335 p. ill |
| ISBN: | 9789812777911 |
Internformat
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Datensatz im Suchindex
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| author | Sousa, João M. C. |
| author_facet | Sousa, João M. C. |
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| author_sort | Sousa, João M. C. |
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| dewey-full | 003.56 |
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| dewey-ones | 003 - Systems |
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| dewey-search | 003.56 |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV044635198 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:46Z |
| institution | BVB |
| isbn | 9789812777911 |
| language | English |
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| physical | xix, 335 p. ill |
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| publishDate | 2002 |
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| series2 | World Scientific series in robotics and intelligent systems |
| spelling | Sousa, João M. C. Verfasser aut Fuzzy decision making in modeling and control João M.C. Sousa, Uzay Kaymak Singapore World Scientific Pub. Co. c2002 xix, 335 p. ill txt rdacontent c rdamedia cr rdacarrier World Scientific series in robotics and intelligent systems v. 27 Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book 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 modeling and control. 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 Fuzzy decision making Decision making Control theory Kaymak, Uzay Sonstige oth Erscheint auch als Druck-Ausgabe 9789810248772 Erscheint auch als Druck-Ausgabe 9810248776 http://www.worldscientific.com/worldscibooks/10.1142/4900#t=toc Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Sousa, João M. C. Fuzzy decision making in modeling and control Fuzzy decision making Decision making Control theory |
| title | Fuzzy decision making in modeling and control |
| title_auth | Fuzzy decision making in modeling and control |
| title_exact_search | Fuzzy decision making in modeling and control |
| title_full | Fuzzy decision making in modeling and control João M.C. Sousa, Uzay Kaymak |
| title_fullStr | Fuzzy decision making in modeling and control João M.C. Sousa, Uzay Kaymak |
| title_full_unstemmed | Fuzzy decision making in modeling and control João M.C. Sousa, Uzay Kaymak |
| title_short | Fuzzy decision making in modeling and control |
| title_sort | fuzzy decision making in modeling and control |
| topic | Fuzzy decision making Decision making Control theory |
| topic_facet | Fuzzy decision making Decision making Control theory |
| url | http://www.worldscientific.com/worldscibooks/10.1142/4900#t=toc |
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