Fuzzy Control

"The present edited volume is of special importance, and for various reasons: First of all, it is a most comprehensive and multifaceted coverage of broadly perceived fuzzy control in the literature. The editors have succeeded to collect papers from leading scholars and researchers on various subjects related to the topic of the volume. What is relevant and original is that - opposed to so many volumes on fuzzy control that are strongly technically oriented and covering a narrow spectrum of issues relevant to fuzzy control itself - the editors have adopted a more general and far sighted approach."
From the foreword by Janusz Kacprzyk
Besides the theory and application of fuzzy control, original results on special problems in fuzzy sets theory, like simulation, problems of measurement, connectives in fuzzy logic, neural network and genetic approaches, are presented.

Contents

Introductory Sections: From Computing Numbers to Computing with Words

• From Manipulation of Measurements to Manipulation of Perceptions;
  
• Fractal Logics Versus Fuzzy Logics;
  
• Knowledge Representation Using Fuzzy Logic Based Characteristics.
  

Fuzzy Sets Theory: On t-Norms as Basic Connectives for Fuzzy Logic;

• Generalized Parametric Conjunction Operations in Fuzzy Modeling;
  
• the Equality of Inference Results Using Fuzzy Implication and Conjunctive Interpretations of the If Then Rules Under Defuzzification;
  
• Adaptive Information Systme for Multivariate Data Approximation Problems;
  
• FGCounts of Fuzzy Sets with Triangular Norms;
  
• On the Approximate Solution of Fuzzy Equation Systems;
  
• Using Fuzzy Parasets in Problem-Solving Under Uncertainty;
  
• On the Change of the Distribution Shape of Randomized Fuzzy Variables by Filtering Over Compatibility Degrees;
  
• On Optimization with Fuzzy Constraint Conditions.
  

Fuzzy Control Theory: Inference Methods for Partially Redundant Rule Bases;

• Analysis and Design of Fuzzy PID Controller Based on Classical PID;
  
• Expert Methods in the Theory of Automatic Control;
  
• Comparative Analysis of Classical and Fuzzy PID Algorithms;
  
• Non-Fuzzy Knowledge-Rule-Based Controllers and their Optimisation by Means of Genetic Algorithms;
  
• A New Method of Fuzzy Petri Net Synthesis and its Application for Control Systems Design.
  

Fuzzy Control Applications: Improving Control Behaviour with Set-Point Pre-Processors;

• Automation of Process Pretuning by a Fuzzy-Similar Method;
  
• Selection of Mathematics Model for Daily Diagram Prediction According to Box-Jenkins Method;
  
• The Application of Fuzzy Set to Analysis of Cultural Meaning;
  
• Natural Language Input for Fuzzy Diagnosis.
  

Nuero-Fuzzy Systems and Genetic Algorithms: Neural Network Architecture of Fuzzy Systems;

• A Neuro-Fuzzy Inference System Optimized by Deterministic Annealing;
  
• Neuro-Fuzzy Detector for Industrial Process; Fuzzy Setting of GA Parameters;
  
• Self-Learning Fuzzy Models and Neural Models in Environment Prediction;
  
• Fuzzy Stochastic Multistage Decision Process with Implicitly Given Termination Time.
  

Diagnosis, Monitoring, and Decision Support Systems: Fuzzy Time Series Analysis;

• Fuzzy Modelling of Heart Rate Variability;
  
• Fuzzy Approach to Combining Parallel Experts Response;
  
• Fuzzy Modeling of Dynamic Non-Linear Processes
  

Design and Analysis of Structures;

• Fuzzy Modeling of Uncertainty in Decision Support System for Electric Power System Planning;
  
• Application of the FSOM to Machine Vibration Monitoring;
  
• Near-Term Forecasting of Drilling Cost of Borehole by Fuzzy Logic .