永田 清 経営学部 経営学科 教授
Fuzzy Regression Model with Modified Kernel and its Application to a Set of Real Data
In this paper, we try to extend a linear fuzzy regression model to non-linear model by adapting a modified kernel method. Then, we apply the model of only low degree of polynomial kernel to a data set obtained by conducting questionnaire survey on purchasing decision making of electric assisted bicycle in Japan.
Kiyoshi Nagata and Michihiro Amagasa
共著 International Journal on Advances in Software International Academy, Research, and Industry Association Vol 11(No. 1&2),pp.55-64 2018/06
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