Practical Applications of Fuzzy Technologies
(Sprache: Englisch)
Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in...
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Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully.
Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Klappentext zu „Practical Applications of Fuzzy Technologies “
Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully.
Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
Inhaltsverzeichnis zu „Practical Applications of Fuzzy Technologies “
Series Forword; D. Dubois, H. Prade.Preface; H.-J. Zimmermann.
Contributing Authors.
Part I: Engineering and Natural Sciences.
1. Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives; J. Jantzen, J.-J. Østergaard, H.B. Verbruggen.
2. Fuzzy Sets in Engineering Design; E.K. Antonsson, H.-J. Sebastian.
3. Supervision, Fault-Detection and Fault-Diagnosis Methods - Advanced Methods and Applications; R. Isermann, D. Füssel.
4. Quality Control and Maintenance; J. Strackeljan, R. Weber.
5. Using Fuzzy Logic for Mobile Robot Control; A. Saffiotti, E.H. Ruspini, K. Konolige.
6. Civil Engineering (including Earthquake Engineering); F.S. Wong, K.C. Chou, J.T.P. Yao.
7. Ecological Modeling and Data Analysis; A. Salski.
8. Fuzzy Sets Approach to Spatial Analysis; Yee Leung.
9. Chemistry and Chemical Engineering; W. Meier.
Part II: Medicine.
10. Fuzzy Logic and Possibility Theory in Biomedical Engineering; K. Becker.
11. Approximate Reasoning in Computer-Aided Medical Decision Systems; J.-C. Buisson.
12. Image Processing in Medicine; J.C. Bezdek, M.A. Sutton.
Part III: Management.
13. Strategic Planning; M. Lasek.
14. Decision and Planning in Research and Development; B. Werners, R. Weber.
15. Production Planning and Scheduling - Fuzzy and Crisp Approaches; I.B. Türksen, M.H. Fazel Zarandi.
16. Fuzzy Sets Methodologies in Actuarial Science; R.A. Derrig, K. Ostaszewski.
Part IV: Behavioral, Cognitive and Social Sciences.
17. Fuzzy Set Theory and Applications in Psychology; M. Smithson, G.C. Oden.
18. Fuzzy Sets in Human Factors and Ergonomics; W. Karwowski, WookGee Lee, J. Grobelny, Yung-Nien Yang.
Part V: Tools.
19. Fuzzy System Development: Software Methodology and Design Tools; W. Pedrycz.
Index
Autoren-Porträt
Prof. em. Dr. Drs. h. c. Hans-Jürgen Zimmermann war bis 1999 Inhaber des Lehrstuhls für Unternehmensforschung (Operations Research) an der RWTH Aachen und ist Wissenschaftlicher Leiter der ELITE (European Laboratory for Intelligent Techniques Engineering) sowie wissenschaftlicher Beirat des Instituts für Operations Research und Management, Inform GmbH, in Aachen.
Bibliographische Angaben
- 2012, 1999, XXVIII, 667 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Hans-Jürgen Zimmermann
- Verlag: Springer, Berlin
- ISBN-10: 1461370795
- ISBN-13: 9781461370796
Sprache:
Englisch
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