JACIII Vol.15 No.4 pp. 479-484
doi: 10.20965/jaciii.2011.p0479


Fuzzy Robust Regression Model by Possibility Maximization

Yoshiyuki Yabuuchi* and Junzo Watada**

*Faculty of Economics, Shimonoseki City University, 2-1-1 Daigaku-cho, Shimonoseki, Yamaguchi 751-8510, Japan

**Graduate School of Information, Production and Systems Waseda University, 2-4 Hibikino, Wakamatsu, Kitakyushu, Fukuoka 808-0196, Japan

January 7, 2011
February 25, 2011
June 20, 2011
fuzzy regression model, possibility grade, robustness

Since management and economic systems are complex, it is hard to handle data obtained in management and economic areas. Hitherto, in the fields, much research has focused on the structure and analysis of such data. H. Tanaka et al. proposed a fuzzy regression model to illustrate the potential possibilities inherent in the target system. J. C. Bezdek proposed a switching regression model based on a fuzzy clustering model to separate mixed samples coming from plural latent systems and apply regression models to the groups of samples coming from each system. It is hard to illustrate a rough and moderate possibility of the target system. In this paper, to deal with the possibility of a social system, we propose a new fuzzy robust regression model.

Cite this article as:
Yoshiyuki Yabuuchi and Junzo Watada, “Fuzzy Robust Regression Model by Possibility Maximization,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.4, pp. 479-484, 2011.
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Last updated on Mar. 01, 2021