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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.




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.
Content:
Front Matter....Pages i-xxviii
Front Matter....Pages 1-1
Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives....Pages 3-56
Fuzzy Sets in Engineering Design....Pages 57-117
Supervision, Fault-Detection and Fault-Diagnosis Methods....Pages 119-159
Quality Control and Maintenance....Pages 161-184
Using Fuzzy Logic for Mobile Robot Control....Pages 185-205
Civil Engineering....Pages 207-245
Ecological Modeling and Data Analysis....Pages 247-266
Fuzzy Sets Approach to Spatial Analysis....Pages 267-300
Chemistry and Chemical Engineering....Pages 301-318
Front Matter....Pages 319-319
Fuzzy Logic and Possibility Theory in Biomedical Engineering....Pages 321-335
Approximate Reasoning in Computer-Aided Medical Decision Systems....Pages 337-361
Image Processing in Medicine....Pages 363-416
Front Matter....Pages 417-417
Strategic Planning....Pages 419-444
Decision and Planning in Research and Development....Pages 445-478
Production Planning and Scheduling: Fuzzy and Crisp Approaches....Pages 479-529
Fuzzy Sets Methodologies in Actuarial Science....Pages 531-553
Front Matter....Pages 555-555
Fuzzy Set Theory and Applications in Psychology....Pages 557-585
Front Matter....Pages 587-587
Fuzzy Sets in Human Factors and Ergonomics....Pages 589-621
Fuzzy System Development: Software Methodology and Design Tools....Pages 623-646
Back Matter....Pages 647-667


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.
Content:
Front Matter....Pages i-xxviii
Front Matter....Pages 1-1
Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives....Pages 3-56
Fuzzy Sets in Engineering Design....Pages 57-117
Supervision, Fault-Detection and Fault-Diagnosis Methods....Pages 119-159
Quality Control and Maintenance....Pages 161-184
Using Fuzzy Logic for Mobile Robot Control....Pages 185-205
Civil Engineering....Pages 207-245
Ecological Modeling and Data Analysis....Pages 247-266
Fuzzy Sets Approach to Spatial Analysis....Pages 267-300
Chemistry and Chemical Engineering....Pages 301-318
Front Matter....Pages 319-319
Fuzzy Logic and Possibility Theory in Biomedical Engineering....Pages 321-335
Approximate Reasoning in Computer-Aided Medical Decision Systems....Pages 337-361
Image Processing in Medicine....Pages 363-416
Front Matter....Pages 417-417
Strategic Planning....Pages 419-444
Decision and Planning in Research and Development....Pages 445-478
Production Planning and Scheduling: Fuzzy and Crisp Approaches....Pages 479-529
Fuzzy Sets Methodologies in Actuarial Science....Pages 531-553
Front Matter....Pages 555-555
Fuzzy Set Theory and Applications in Psychology....Pages 557-585
Front Matter....Pages 587-587
Fuzzy Sets in Human Factors and Ergonomics....Pages 589-621
Fuzzy System Development: Software Methodology and Design Tools....Pages 623-646
Back Matter....Pages 647-667
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