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Dynamic Fuzzy Logic and its Applications
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Authors: Fanzhang Li (Soochow Univ., P.R. China) 
Book Description:
Dynamic fuzzy problem are problems that are universally focused by academes. Mathematicians and cybernetic experts have used fuzzy logic to developed theories and solve static problems in so called subjective and objective worlds. This book includes 12 chapters. Chapter 1 is about basic conceptions of Dynamic Fuzzy Sets (DFS). Chapter 2 introduces Dynamic Fuzzy (DF) decomposition theorem. Chapter 3 is about L form of DFS module structure. Chapter 4 is about representation theorem of DFS. Chapter 5 introduces extension theorem of DFS. Chapter 6 is about DF measure theory. In chapter 7 it is Dynamic Fuzzy Logic (DFL). Chapter 8 is about reasoning methods of DFL. Chapter 9 is about bases of DFL programming language. Chapter 10 introduces multi-agent learning model based on DFL. Chapter 11 is about autonomic computing model based on DFL. The last Chapter introduces application of DFL in machine learning.

Table of Contents:
Preface

Chapter 1 - Dynamic Fuzzy Sets (DFS)

Chapter 2 - Decomposition Theorem of Dynamic Fuzzy Sets

Chapter 3 - L-Dynamic Fuzzy Sets and Module Structure

Chapter 4 - Representation Theorem of Dynamic Fuzzy Sets

Chapter 5 - Extension Theorem of Dynamic Fuzzy Sets

Chapter 6 - Dynamic Fuzzy Measure Theory

Chapter 7 - Dynamic Fuzzy Logic

Chapter 8 - Reasoning Methods of DFL

Chapter 9 - Basis of Dynamic Fuzzy Logic Programming Language

Chapter 10 - The Multi-Agent Learning Model-Based on dFL

Chapter 11 - Autonomic Computing Model Based on DFL

Chapter 12 - Application of Dynamic Fuzzy Logic in Machine Learning

References

Postscript

About The Author

Index

   Binding: Hardcover
   Pub. Date: 2008
   ISBN: 1-60021-428-2
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Dynamic Fuzzy Logic and its Applications