Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

Introduction

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xxi

A genetic algorithm creates and tests many candidate models by chang-

ing the model parameters (such as the number of variables or the fuzzy

sets underlying the variables) until it finds the configuration that performs

the best.

Fuzzy Logic and Genetic Algorithms

This book examines the use of fuzzy logic and genetic algorithms in data

exploration and model building. These two technologies provide a rich

and robust platform of tools and methods that allow analysts and model

builders to discover patterns buried deep in large repositories of data.

They also allow us to construct rule-based models that quantify patterns

and combine them, if necessary, with subject matter expert knowledge.

In particular, the focus is on methods of exploring ...