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＜電子ブック＞
Practical Applications of Fuzzy Technologies / edited by Hans-Jürgen Zimmermann
(The Handbooks of Fuzzy Sets ; 6)

版	1st ed. 1999.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	1999
本文言語	英語
大きさ	XXVIII, 667 p : online resource
著者標目	Zimmermann, Hans-Jürgen editor SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Operations research LCSH:Artificial intelligence LCSH:Mechanical engineering LCSH:Electrical engineering FREE:Mathematical Logic and Foundations FREE:Operations Research and Decision Theory FREE:Artificial Intelligence FREE:Mechanical Engineering FREE:Electrical and Electronic Engineering
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-1-4615-4601-6

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