Description
SPRINGER Complexity Management In Fuzzy Systems A Rule Base Compression Approach Volume 211 by GEGOV ALEXANDER
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 preserving the solution. The compression is based on formal methods for presentation, manipulation, transformation and simplification of fuzzy rule bases. 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.