Creating Fuzzy Decision Algorithms Using Genetic Program Based Data Mining Program

A data mining procedure for automatic determination of fuzzy decision tree structure using a genetic program is discussed. A genetic program is an algorithm that evolves other algorithms or mathematical expressions. Methods of accelerating convergence of the data mining procedure including a new innovation based on computer algebra are examined. Experimental results related to using computer algebra are given. Comparisons between trees created using a genetic program and those constructed solely by interviewing experts are made. A genetic program evolved tree is shown to be superior to one created by hand using expertise alone. Finally, additional methods that have been used to validate the data mining algorithm are discussed