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A GA-based Classification Model for Predicting Consumer Choice  

Min, Jae-H. (서강대학교 경영전문대학원)
Jeong, Chul-Woo (서강대학교 대학원 경영학과)
Publication Information
Journal of the Korean Operations Research and Management Science Society / v.34, no.3, 2009 , pp. 29-41 More about this Journal
Abstract
The purpose of this paper is to develop a new classification method for predicting consumer choice based on genetic algorithm, and to validate Its prediction power over existing methods. To serve this purpose, we propose a hybrid model, and discuss Its methodological characteristics in comparison with other existing classification methods. Also, we conduct a series of experiments employing survey data of consumer choices of MP3 players to assess the prediction power of the model. The results show that the suggested model in this paper is statistically superior to the existing methods such as logistic regression model, artificial neural network model and decision tree model in terms of prediction accuracy. The model is also shown to have an advantage of providing several strategic information of practical use for consumer choice.
Keywords
Consumer Choice Model; Binary Classification Method; Genetic Algorithm;
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