Practical Applications of Fuzzy TechnologiesHans-Jürgen Zimmermann Springer Science & Business Media, 06/12/2012 - 667 páginas 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. |
Índice
Approximate Reasoning in ComputerAided Medical Decision Systems 337 | 336 |
Image Processing in Medicine | 363 |
MANAGEMENT | 411 |
Strategic Planning 419 | 418 |
14 | 443 |
Production Planning and Scheduling Fuzzy and Crisp Approaches | 479 |
References | 518 |
Fuzzy Sets Methodologies in Actuarial Science | 531 |
References | 155 |
Using Fuzzy Logic for Mobile Robot Control | 185 |
Civil Engineering Including Earthquake Engineering | 207 |
Ecological Modeling and Data Analysis 247 | 246 |
8 | 265 |
Chemistry and Chemical Engineering | 301 |
MEDICINE | 317 |
BEHAVIORAL COGNITIVE AND SOCIAL SCIENCES | 557 |
References | 577 |
Fuzzy Sets in Human Factors and Ergonomics | 589 |
References | 617 |
Index | 647 |
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Palavras e frases frequentes
Aachen aggregation algorithm analysis analytical Antonsson Application of Fuzzy approach ASCE Publication behavior change in error civil engineering classification combination Computing Conference Proceedings configuration control actions control strategy control system crisp decision defined defuzzification described design preference design variables Dong dynamic engineering design evaluation example expert systems fault detection fault diagnosis Figure Furuta fuzzy clustering Fuzzy Constraints fuzzy control Fuzzy Design Fuzzy Goals fuzzy logic fuzzy model fuzzy relations fuzzy rule fuzzy set theory Fuzzy Systems genetic algorithms Geographic Information Systems high level control IEEE implemented imprecise inference input Intelligent Isermann knowledge base knowledge-based KONWERK Leung linear linguistic variables mathematical measured membership functions methods model-based modules neural networks nonlinear objects operation optimization output parameter estimation performance PID controller possible problem production requirements robot rule base Salski sensor Sets and Systems signals spatial specific structure t-norms techniques uncertainty vector vibration Zadeh Zero