Dynamic fuzzy logic and its applications

Author

• Fanzhang, Li

Additional Author(s)

-

Publisher

New York: Nova Science Publishers. Inc, 2008

Language

English

ISBN

9781600214288

Series

Subject(s)

• FUZZY LOGIC

Notes

. Bibliography: p. 265-286. Index: p. 291-296

Abstract

Dynamic fuzzy problem are problems that are universally focused by academies. 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.

Physical Dimension

Number of Page(s)

x, 296 p.

Dimension

26 cm.

Other Desc.

-

Summary / Review / Table of Content

Preface; Dynamic Fuzzy Sets (DFS); Decomposition Theorem of Dynamic Fuzzy Sets; L- Dynamic Fuzzy Sets and Module Structure; Representation Theorem of Dynamic Fuzzy Sets; Extension Theorem of Dynamic Fuzzy Sets; Dynamic Fuzzy Measure Theory; Dynamic Fuzzy Logic; Reasoning Methods of DFL; Basis of Dynamic Fuzzy Logic Programming Language; The Multi-Agent Learning Model Based on DFL; Autonomic Computing Model Based on DFL; Application of Dynamic Fuzzy Logic in Machine Learning; Index.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	02129/18	511.313 Fan D	Library - 7th Floor	Available