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.
Edited by:
Hans-Jurgen Zimmermann
Imprint: Springer
Edition: 1999 ed.
Volume: 6
Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 38mm
Weight: 2.540kg
ISBN: 9780792386285
ISBN 10: 0792386280
Series: The Handbooks of Fuzzy Sets
Pages: 667
Publication Date: 30 November 1999
Audience:
College/higher education
,
Professional and scholarly
,
Professional & Vocational
,
A / AS level
,
Further / Higher Education
Format: Hardback
Publisher's Status: Active
I Engineering and Natural Sciences.- 1 Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives.- 2 Fuzzy Sets in Engineering Design.- 3 Supervision, Fault-Detection and Fault-Diagnosis Methods — Advanced Methods and Applications.- 4 Quality Control and Maintenance.- 5 Using Fuzzy Logic for Mobile Robot Control.- 6 Civil Engineering (Including Earthquake Engineering).- 7 Ecological Modeling and Data Analysis.- 8 Fuzzy Sets Approach to Spatial Analysis.- 9 Chemistry and Chemical Engineering.- II Medicine.- 10 Fuzzy Logic and Possibility Theory in Biomedical Engineering.- 11 Approximate Reasoning in Computer-Aided Medical Decision Systems.- 12 Image Processing in Medicine.- III Management.- 13 Strategic Planning.- 14 Decision and Planning in Research and Development.- 15 Production Planning and Scheduling — Fuzzy and Crisp Approaches.- 16 Fuzzy Sets Methodologies in Actuarial Science.- IV Behavioral, Cognitive and Social Sciences.- 17 Fuzzy Set Theory and Applications in Psychology.- 18 Fuzzy Sets in Human Factors and Ergonomics.- V Tools.- 19 Fuzzy System Development: Software Methodology and Design Tools.
