Leondes C.T. (ed.) Fuzzy Theory Systems. Techniques and Applications

Издательство Academic Press, 1998, -1747 pp.
Four-volume edition.Fuzzy theory is an interesting name for a method that has been highly effective in a wide variety of significant, real-world applications. A few examples make this readily apparent. As the result of a faulty design in the method of computer-programmed trading, the biggest stock market crash in history was triggered on October 19, 1987, by a small fraction of a percent change in the interest charged in a Western European country. A fuzzy theory approach would have weighed a number of relevant variables and the ranges of values for each of these variables. Another example, which is rather simple but pervasive, is that of an electronic thermostat that turns on heat or air conditioning at a specified temperature setting. In fact, actual comfort level involves other variables such as humidity and the location of the sun with respect to windows in a home, among others. Because of its great applied significance, fuzzy theory has generated widespread activity internationally. In fact, institutions devoted to research in this area have come into being.
This four-volume set presents a rather comprehensive treatment of this subject and its broad array of practical applications. The structure of these volumes is as follows:Volume 1
Section I: Modeling Techniques
Section II: System Control Methods and Applications
Volume 2
Section III: Industrial, Manufacturing, and Commercial Systems
Section IV: Adaptive Fuzzy Systems
Volume 3
Section V: Image, Visual, and Pattern Processing Systems
Section VI: Fuzzy Neural Systems
Volume 4
Section VII: Implementation TechniquesThe authors are all to be highly commended for producing a significant and unique reference source of lasting value to students, research workers, practitioners, computer scientists, and others on the international scene.Optimization Techniques in the Design of Fuzzy Models
Modeling Relationships in Data: From Contingency Tables to Fuzzy Multimodels
Fuzzy Dynamical Modeling Techniques for Nonlinear Control Systems and Their Applications to Multiple-Input Multiple-Output (MIMO) Systems
Techniques and Applications of Fuzzy Set Theory to Difference and Functional Equations and Their Utilization in Modeling Diverse Systems
Techniques in Neural-Network-Based Fuzzy System Identification
and Their Application to Control of Complex Systems
Fuzzy Control with Reference Model-Following Response
Fuzzy-Set-Based Models of Neurons and Knowledge-Based Networks: Techniques and Applications
Identifying Fuzzy Rule-Based Models Using Orthogonal Transformation and Backpropagation
Evolutionary Neuro-Fuzzy Modeling
Techniques and Applications of Fuzzy Theory in Quantifying Risk Levels in Occupational Injuries and Illnesses
Fuzzy Inference with Control Schemes for Fuzzy Constraint Propagation
Intelligent Proportional, Integral, Derivative Controllers
Techniques and Applications of Fuzzy Theory via H∞ Control Techniques for Tracking Algorithms for Uncertain Nonlinear Systems
Techniques and Applications of Fuzzy Smoothing Algorithms for Control Systems
Techniques and Applications of Fuzzy Theory in the Validity of Complexity Reduction by Means of Decomposition of Multivariable Fuzzy Systems
Techniques and Applications of Control Systems Based on Knowledge-Based Interpolation
Techniques And Applications Of Fuzzy Theory To An Elevator Group Control System
Fuzzy Neural Network Systems Techniques And Their Applications To Nonlinear Chemical Process Control Systems
Techniques and Applications of Fuzzy Theory to Material Selection in Mechanical Design Problems
Applications of Fuzzy System Theory to Telecommunications
Fuzzy Control System Techniques and Their Application in Hydraulically Actuated Industrial Robots
Techniques in the Design and Stability Analysis of Fuzzy Proportional-Integral-Derivative Control Systems and Their Industrial Applications
Fuzzy Theory Techniques and Applications in Data-Base Management Systems
Techniques and Applications of Fuzzy Theory in Document Retrieval Systems
Techniques and Applications of Fuzzy Logic Control of Solar Power Plants
Fuzzy Metrology
Techniques and Applications of Fuzzy Statistics in Digital Image Analysis
Adaptive Fuzzy Logic Control Synthesis without a Fuzzy Rule Base
Fuzzy Adaptive Control Techniques for Nonlinear Systems and Their Application
Online Self-Organizing Fuzzy Logic Controller Using a Fuzzy Auto-Regressive Moving Average Model and Its Application
Techniques and Applications of Fuzzy Theory in Generalized Defuzzification Methods and Their Utilization in Parameter Learning Techniques
Optimal Adjustment of Scaling for Fuzzy Controllers Using Correlation Techniques
Translation and Extraction Problems for Neural and Fuzzy Systems: Bridging over Distributed Knowledge Representation in Multilayered Neural Networks and Local Knowledge Representation in Fuzzy Systems
Fuzzy Set System Application to Medical Diagnosis: a Diagnostic System for Valvular Heart Diseases
Fuzzy Theory Techniques and Their Application in Digital Image Transformation
Techniques and Comparative Analysis of Neural Network Systems and Fuzzy Systems in Medical Image Segmentation
The Applications of Fuzzy Techniques to Image Processing Based on the Human Visual System Model
Fuzzy Logic-Based Visual Feedback Control
Techniques in Fuzzy Rules Determination and Their Application to Pattern Classification
Techniques and Applications of Genetic Algorithm-Based Methods for Designing Compact Fuzzy Classification Systems
Combination of Handwritten-Numeral Classifiers with Fuzzy Integral
Neural Network and Fuzzy Logic Systems: Techniques and Applications in Telerobot Systems
Implementation Techniques and Applications of Fuzzy Neural Network Systems
Techniques in Fuzzy Inference Neural Networks for Fuzzy Model Improvement and Their Application
Techniques and Applications of Integrated Neural Network-Based Fuzzy Logic Control Systems
Neural Fuzzy Systems Techniques and Applications for Production Quality Control
Fuzzy Neural Network Techniques in Robotic Object Manipulation
Modeling Cognition with Fuzzy Neural Nets
Techniques in Neural Fuzzy Systems and Their Applications in Processing both Numerical and Linguistic Information
Implementation Techniques for Fuzzy Theory Systems and Their Applications
Techniques and Applications of Neural Networks for Fuzzy Rule Approximation
Techniques and Applications of Fuzzy System Interface Optimizers in Various System Problems
Techniques and Applications of Fuzzy Theory to Critical Path Methods
Fuzzy Sequential Circuits and Automata
Techniques of OR/AND Neurons in Fuzzy Systems and Their Applications
Techniques and Applications of Hybrid Fuzzy Learning Theory to Systems Modeling
Techniques and Applications of Fuzzy Systems Based on the Petri-Net Formalism