Complexity Management in Fuzzy Systems A Rule Base Compression Approach

This book presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. The study uses a novel approach for complexity management, aimed at compressing the fuzzy rule base by removing the redundancy while preser...

Full description

Bibliographic Details
Main Author: Gegov, Alexander
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2007, 2007
Edition:1st ed. 2007
Series:Studies in Fuzziness and Soft Computing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Basic Types of Fuzzy Rule Based Systems
  • Rule Base Reduction Methods for Fuzzy Systems
  • Formal Presentation of Fuzzy Rule Based Systems
  • Formal Manipulation of Fuzzy Rule Based Systems
  • Formal Manipulation with Special Rule Bases
  • Formal Transformation of Fuzzy Rule Based Systems
  • Formal Transformation of Feedback Rule Bases
  • Formal Simplification of Fuzzy Rule Based Systems
  • Conclusion