<P>The ability of fuzzy systems to provide shades of gray between ''on or off'' and ''yes or no'' is ideally suited to many of todayΠ²Πβ’s complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range and their off
Fuzzy Logic Foundations and Industrial Applications
β Scribed by Ronald R. Yager (auth.), Da Ruan (eds.)
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Leaves
- 339
- Series
- International Series in Intelligent Technologies 8
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Fuzzy Logic Foundations and Industrial Applications is an organized edited collection of contributed chapters covering basic fuzzy logic theory, fuzzy linear programming, and applications. Special emphasis has been given to coverage of recent research results, and to industrial applications of fuzzy logic.
The chapters are new works that have been written exclusively for this book by many of the leading and prominent researchers (such as Ronald Yager, Ellen Hisdal, Etienne Kerre, and others) in this field. The contributions are original and each chapter is self-contained. The authors have been careful to indicate direct links between fuzzy set theory and its industrial applications.
Fuzzy Logic Foundations and Industrial Applications is an invaluable work that provides researchers and industrial engineers with up-to-date coverage of new results on fuzzy logic and relates these results to their industrial use.
β¦ Table of Contents
Front Matter....Pages i-xix
Front Matter....Pages 1-1
A Unified View of Case Based Reasoning and Fuzzy Modeling....Pages 5-26
Open-Mindedness and Probabilities Versus Possibilities....Pages 27-55
Fuzzy Derivatives and Fuzzy Cauchy Problems Using LP Metric....Pages 57-72
On the Classification and the Dependencies of the Ordering Methods....Pages 73-90
Front Matter....Pages 91-91
Possibility Model and its Applications....Pages 93-110
Interactive Fuzzy Programming for Multiobjective 0β1 Programming Problems Through Genetic Algorithms with Double Strings....Pages 111-128
The Handling of Fuzzy Objective Functions in (Multicriteria) Linear Programs....Pages 129-145
Making Decisions on Fuzzy Integer Linear Programming Problems....Pages 147-164
Information Diffusion Principle and Application in Fuzzy Neuron....Pages 165-198
Front Matter....Pages 199-199
Some Application Examples of Fuzzy Set Theory....Pages 201-224
Recent Successful Fuzzy Logic Applications in Industrial Automation....Pages 225-246
FIPSβFoundations of a New Tool for Process Control Problems....Pages 247-263
Industrial Applications of Fuzzy Logic and Neural Networks in China....Pages 265-273
The Potential of Fuzzy Logic Applications in Industry....Pages 275-312
Fuzzy Logic Applications in Nuclear Industry....Pages 313-327
Back Matter....Pages 329-330
β¦ Subjects
Mathematical Logic and Foundations;Statistical Physics, Dynamical Systems and Complexity;Operations Research/Decision Theory;Artificial Intelligence (incl. Robotics)
π SIMILAR VOLUMES
<p><P>The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of todayβs complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range and their off-li
<p>The present book contains 20 articles collected from amongst the 53 total submitted manuscripts for the Special Issue βFuzzy Sets, Fuzzy Loigic and Their Applicationsβ of the MDPI journal Mathematics. The articles, which appear in the book in the series in which they were accepted, published in V
Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from 1988 to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well. Theo