A fuzzy rule induction method using genetic algorithm

Abstract Kansei engineering expert systems simulate human perception for the evaluation of product design. A procedure of inducing a fuzzy decision tree for the Kansei engineering system is described for the analysis of driving comfort of automobiles. A method is proposed in this study for inducing the tree based on a genetic algorithm. Linguistic fuzzy rules are acquired by tracing the generated tree from the root node to leaf ones. The results are compared with the model of quantification theory type I which is one of the conventional statistical methods.

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