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Fuzzy Rule-Based Expert Systems and Genetic Machine Learning

TLDR
In this work, the semantic of fuzzy rule-languages is extended with a type system and an object-oriented system and the class of genetic algorithms over context-free languages has been developed.
Abstract
This work presents fuzzy rule-languages as links between quantitative and qualitative models. In the first part, the semantic of fuzzy rule-languages is extended with a type system and an object-oriented system. In the second part, fuzzy rule-languages are integrated with genetic algorithms and with classifier systems. For this purpose, the class of genetic algorithms over context-free languages has been developed.

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Introduction to Fuzzy Logic using MATLAB

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Ten years of genetic fuzzy systems: current framework and new trends

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Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

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Genetic fuzzy systems: taxonomy, current research trends and prospects

TL;DR: An overview of the field of GFSs, with a taxonomy proposal focused on the fuzzy system components involved in the genetic learning process, and some potential future research directions.
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Mining fuzzy association rules in databases

TL;DR: This paper introduces the fuzzy association rules of the form, 'If X is A then Y is B', to deal with quantitative attributes, using the fuzzy set concept, to find association rules more understandable to human.