Complexity Management in Fuzzy Systems A Rule Base Compression Approach /

• Main Author: Gegov, Alexander (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Studies in Fuzziness and Soft Computing, 211
• Subjects: Mathematics.; Artificial intelligence.; System theory.; Applied mathematics.; Engineering mathematics.; Systems Theory, Control.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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...

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.