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9780792386285

Practical Applications of Fuzzy Technologies

by
  • ISBN13:

    9780792386285

  • ISBN10:

    0792386280

  • Format: Hardcover
  • Copyright: 2000-01-01
  • Publisher: Kluwer Academic Pub
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Summary

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.

Table of Contents

Series Foreword xv
Didier Dubois
Henri Prade
Preface xvii
Hans-Jurgen Zimmermann
Contributing Authors xxiii
Part I ENGINEERING AND NATURAL SCIENCES
Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives
3(54)
Jan Jantzen
Jens-Jorgen Ostergaard
Henk B. Verbruggen
Introduction
3(4)
Design of Simple Fuzzy Controllers
7(25)
Structure of a Fuzzy Controller
11(13)
Table Based Controller
24(2)
Input-Output Mapping
26(3)
Takagi-Sugeno Type Controller
29(2)
Summary
31(1)
Advanced Fuzzy Control in the Process Industry
32(11)
Advanced Control Schemes Based on Simple Controllers
33(1)
Fuzzy Inverse Control
33(1)
Fuzzy Internal Model Control
34(1)
Fuzzy Model-Based Predictive Control
35(4)
Fuzzy Decision Making in Control
39(2)
MIMO Aspects of Fuzzy Control
41(2)
High Level Process Control
43(14)
High Level Control Expectations
45(1)
High Level Control Configurations
46(2)
Design of High Level Control Strategies
48(5)
Installation of High Level Control Strategies
53(1)
Conclusion
54(1)
References
54(3)
Fuzzy Sets in Engineering Design
57(62)
Erik K. Antonsson
Hans-Jurgen Sebastian
Introduction
57(2)
Fuzzy Sets in Engineering Design -- Methodology
59(26)
The Method of Imprecision
59(9)
A Fuzzy Design Method (FDM)
68(15)
Fuzzy Design by Evolutionary Strategies Combined with Fuzzy MADM
83(2)
Implementation of Fuzzy Design Methods -- Software Tools for Fuzzy Engineering Design
85(8)
The Imprecise Design Tool (IDT)
85(4)
The KONWERK Workbench
89(4)
Fuzzy Sets in Engineering Design -- Applications
93(26)
Preliminary Vehicle Structure Design
93(7)
Preliminary Design and Configuration of Future Space Launch Systems
100(5)
Configuration of a Personal Computer
105(7)
References
112(7)
Supervision, Fault-Detection and Fault-Diagnosis Methods -- Advanced Methods and Applications
119(42)
Rolf Isermann
Dominik Fussel
Introduction
119(1)
Fault Detection and Fault Diagnosis
120(3)
Analytic Symptom Generation
121(1)
Heuristic Symptom Generation
122(1)
Fault Diagnosis
122(1)
Model-Based Fault Detection Methods
123(15)
Process Models and Fault Modeling
123(4)
Fault Detection with Parameter Estimation
127(1)
Fault Detection with State Estimation and Observers
128(4)
Fault Detection with Parity Equations
132(2)
Fault Detection with Signal Models
134(1)
Change Detection and Symptom Generation
135(1)
Comparison of Fault-Detection Methods
136(1)
Combination of Different Detection Methods
136(2)
Fault-Diagnosis Methods
138(11)
Symptom Representation
138(2)
Diagnosis Using Classification Methods
140(1)
Diagnosis Using Reasoning Methods
141(8)
Applications
149(12)
Fault Diagnosis of a D.C. Motor
149(4)
Fault Diagnosis of a Machine Tool Feed Drive with Fuzzy Reasoning
153(2)
References
155(6)
Quality Control and Maintenance
161(24)
Jens Strackeljan
Richard Weber
Introduction
161(1)
Overview of Industrial Applications of Fuzzy Techniques in Quality Control and Maintenance
162(2)
Presentation of Applications for Quality Control
164(7)
Acoustic Quality Control of Saw Blades
164(2)
Non-Destructive Testing of Metal-Bonded-to-Rubber Components
166(2)
An Optical Color Measuring System Based on a Fuzzy Classifier
168(3)
Applications of Fuzzy Logic for Maintenance
171(11)
Condition Monitoring of Rotating Machinery
171(5)
Diagnosis Systems and their Integration into the Site-Wide Production and Maintenance Management
176(2)
Maintenance of Petro-Chemical Plants
178(4)
Conclusion and Future Prospectives
182(3)
References
182(3)
Using Fuzzy Logic for Mobile Robot Control
185(22)
Alessandro Saffiotti
Enrique H. Ruspini
Kurt Konolige
Introduction
185(2)
Fuzzy Behaviors
187(2)
Implementation of a Fuzzy Behavior
189(2)
Taking Goals into Consideration
191(2)
Blending of Behaviors
193(3)
Experiments
196(4)
Discussion
200(2)
Conclusions
202(5)
References
203(4)
Civil Engineering (Including Earthquake Engineering)
207(40)
Felix S. Wong
Karen C. Chou
James T.P. Yao
Historic Perspective
208(1)
Scope of Applications
209(4)
How Fuzzy Sets are Applied
213(1)
Applications Protocols
213(18)
Structured Processing
214(1)
Unstructured Processing
215(9)
Expert Systems
224(3)
Intelligent Systems
227(4)
Other Resources
231(1)
Future Outlook
232(15)
More Application of Fuzzy Inference to Condition Assessment
232(1)
More Comparative and Modeling Studies
233(1)
More Comparison of Models with Experiments
234(1)
More Applications of Genetic and Intelligent Algorithms
235(1)
References
236(11)
Ecological Modeling and Data Analysis
247(20)
Arkadiusz Salski
Uncertainty Problems in Ecological Research
247(1)
Fuzzy Approach to Ecological Modeling and Data Analysis
248(2)
Fuzzy Cluster Analysis
250(6)
A Fuzzy Cluster Analysis of Chemicals According to their Ecotoxicological Properties
251(5)
Fuzzy Knowledge-Based Models
256(8)
A Fuzzy Knowledge-Based Model of the Annual Production of Skylarks in Pure Crop Areas
257(4)
A Fuzzy Knowledge-Based Model of the Population Dynamics of the Yellow-Necked Mouse (Apodemus Flavicollis) in a Beech Forest
261(3)
Final Remarks
264(3)
References
264(3)
Fuzzy Sets Approach to Spatial Analysis
267(34)
Yee Leung
Introduction
267(1)
Approximate Characterization of Fuzzy Spatial Concepts
268(5)
Linguistic Characterization of Distance
269(2)
Linguistic Characterization of Connection
271(1)
Linguistic Characterization of Direction
271(2)
Regional Concepts and Regionalization
273(7)
Regional Characterization
273(4)
Regional Assignment
277(2)
Grouping for Regions
279(1)
Preference Structure and Spatial Equilibrium Analysis under Fuzziness
280(5)
Fuzzy Preference Structure
282(1)
Fuzzy Utility and Optimization
283(2)
Spatial Planning Through Fuzzy Optimization
285(2)
Spatial Information and Intelligent Spatial Decision Support Systems
287(4)
Geographic Information Systems
288(2)
Intelligent Spatial Decision Support Systems
290(1)
Conclusion
291(10)
References
294(7)
Chemistry and Chemical Engineering
301(20)
Willi Meier
Introduction
301(1)
Application Areas
302(13)
Analytical Chemistry
302(5)
Application of Fuzzy Logic in Theoretical Chemistry
307(3)
Application of Fuzzy Logic in Medical Chemistry
310(3)
Chemical Engineering
313(2)
Summary and Outlook
315(6)
References
316(5)
Part II MEDICINE
Fuzzy Logic and Possibility Theory in Biomedical Engineering
321(16)
Kurt Becker
Introduction
321(1)
Example I: An Intelligent Decision Support- and Alarm System for Cardiac Anaesthesia
322(4)
Example II: A Fuzzy Controller for a Total Artificial Heart (TAH)
326(2)
Other Applications of Fuzzy Logic and Possibility Theory in Biomedical Engineering
328(4)
Data Pre-Processing and Classification Systems
328(2)
Fuzzy Control Applications
330(2)
Expert Systems
332(1)
Discussion
332(5)
References
333(4)
Approximate Reasoning in Computer-Aided Medical Decision Systems
337(26)
Jean-Christophe Buisson
Introduction
337(1)
Critical Survey of Significant Systems
338(17)
MYCIN, the Pioneer
338(2)
CADIAG-2: General Internal Medicine
340(4)
NUTRI-EXPERT: Diet Monitoring
344(2)
Fuzzy Arithmetic
346(1)
Fuzzy Pattern Matching
347(1)
Global Matching Evaluation
347(3)
RENOIR/MILORD
350(1)
Cardioanaesthesia Monitoring
351(1)
Other Systems
352(3)
Concluding Discussion
355(8)
References
358(5)
Image Processing in Medicine
363(56)
James C. Bezdek
Melanie A. Sutton
Medical Image Processing
363(2)
Numerical Pattern Recognition
365(3)
Performance Evaluation
368(3)
Feature Extraction
371(2)
Image Segmentation
373(2)
Unsupervised Segmentation: Track USA
375(10)
Unsupervised Segmentation: Track USB
385(2)
Supervised Segmentation: Track Su
387(3)
Digital Mammography
390(2)
Databases for Digital Mammography
392(3)
A Typical Mammographic Analysis System
395(4)
Three Dimensional Applications
399(6)
Conclusions and Discussion
405(14)
References
409(10)
Part III MANAGEMENT
Strategic Planning
419(26)
Miroslawa Lasek
Introduction
419(2)
Fuzzy Portfolio Analysis
421(5)
Hierarchical Structures of Fuzzy Ratings
426(9)
A Fuzzy Linguistic Approach in Strategic Planning of CIM Implementation
435(3)
Fuzzy Expert Systems in Strategic Planning
438(4)
Summary
442(3)
References
442(3)
Decision and Planning in Research and Development
445(34)
Brigitte Werners
Richard Weber
Introduction
445(1)
Strategic Planning of Research and Development
446(5)
Selection of R&D Projects and Programs
451(12)
R&D Project Management in Uncertain Environments
463(8)
Simultaneous Engineering, Configuration, Design
471(2)
Conclusion
473(6)
References
474(5)
Production Planning and Scheduling -- Fuzzy and Crisp Approaches
479(52)
I.B.Turksen
M.H. Fazel Zarandi
Introduction
479(2)
Management of Imprecision
481(1)
Fuzzy Expert Systems
482(3)
Modules of an Expert System
483(2)
Knowledge-Based Systems
485(2)
Aggregate Production Planning and Detailed Scheduling
487(16)
Detailed Scheduling Problems
488(2)
Classification of Scheduling Problems
490(2)
No-Wait and Blocking Production Planning and Scheduling
492(1)
Examples of Classical Expert Systems
493(5)
Fuzzy Expert Systems for Aggregate Production Planning and Scheduling
498(5)
Detailed Fuzzy Production Planning and Scheduling
503(7)
Fuzzy Systems for Just in Time (JIT) Production Planning and Scheduling
510(3)
Push and Pull Systems
511(2)
Cluster Analysis in Production Planning and Scheduling
513(4)
Partitioning in Classical Production Planning and Scheduling
515(1)
Group Technology
516(1)
Lot Sizing
517(1)
Conclusions
517(14)
References
518(13)
Fuzzy Sets Methodologies in Actuarial Science
531(26)
Richard A. Derrig
Krzysztof Ostaszewski
Why is Actuarial Science so Late in Joining the Fuzzy Science?
531(4)
Underwriting
535(1)
Using Fuzzy Actuarial Present Values and Fuzzy Arithmetic
536(3)
Risk and Claim Classification
539(5)
Property/Casualty Insurance Pricing
544(2)
Fuzzy Taxes
546(3)
The Futures of Fuzzy Sets Methods in Actuarial Science
549(8)
References
550(7)
Part IV BEHAVIORAL, COGNITIVE AND SOCIAL SCIENCES
Fuzzy Set Theory and Applications in Psychology
557(32)
Michael Smithson
Gregg C. Oden
Introduction
557(1)
Graded Categories and Fuzzy Concepts
558(3)
Measurement and Data Analysis
561(2)
Modeling Linguistic Variables
563(5)
Knowledge Representation and Categorization
568(4)
Perception
572(2)
Language Processing
574(2)
Conclusion
576(13)
References
577(12)
Fuzzy Sets in Human Factors and Ergonomics
589(34)
Waldemar Karwowski
WookGee Lee
Jerzy Grobelny
Yung-Nien Yang
Introduction
589(2)
Models of Human Machine-Environment Systems
591(4)
Fuzziness of the Human-Machine System
591(1)
The Human Functioning
592(3)
Assessment of Human Workload
595(1)
Examples of Early Applications of Fuzzy Systems in Human Factors and Ergonomics
595(1)
Human Machine-System as a Fuzzy System
596(1)
Fuzziness and Human-System Incompatibility
597(1)
Recent Applications of Fuzzy Methodologies in Human Factors
598(13)
Human-Machine Reliability and Fuzziness
598(1)
Ergonomic Fuzziness in Human-Computer Interaction
599(5)
Fuzzy Modeling of Physical Tasks
604(3)
Modeling of Work-Related Musculoskeletal Disorders
607(4)
Fuzzy Systems in Human-Machine Research
611(2)
Modeling of Human Sensations
611(1)
Modeling of Human Stress
612(1)
Assessment of Mental Workload
613(3)
Evaluation of Mental Workload
613(1)
Modeling of Human Cognitive Processes
614(2)
Human-Robot Interaction
616(1)
Conclusions
616(7)
References
617(6)
Part V TOOLS
Fuzzy System Development: Software Methodology and Design Tools
623(24)
Witold Pedrycz
Introduction
623(1)
System Development -- Life Cycle Model
624(4)
Fuzzy Controllers in the Framework of Life Cycle Model Design Issues
626(2)
Classes of Software Resources
628(1)
Hardware Versus Software Implementation
629(1)
Selected Software Development Tools
629(17)
Manifold Editor and Manifold Graphics Editor
629(2)
Fuzzy Logic Designer Ver. 1.0
631(1)
FuzzyTECH 3.0 Explorer Edition
632(2)
Linguistic Fuzzy Logic Controller for Education LFLC-edu Ver. 1.0
634(2)
Fuzzy Logic Development Kit (FULDEK)
636(1)
MATRIXX/SystemBuild
637(2)
A Fuzzy Logic Knowledge Base Generator for the MC68HC11 and MCH68HC05 Inference Engines
639(1)
Fuzz-C, a Preprocessor for Fuzzy Logic, Ver. 1.00
639(1)
FuziCalc Ver. 1.00 for Microsoft Windows
640(1)
Fuzzy Decision-Maker Ver. 2.1
641(1)
DataEngine Ver. 1.2
642(1)
RTFCM Ver. 1.4
643(1)
WINROSA
644(2)
Conclusions
646(1)
References
646(1)
Index 647

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