Fuzzy robust regression analysis based on a hyperelliptic function

Yoshiyuki Yabuuchi, Junzo Watada

研究成果: Article

5 引用 (Scopus)

抄録

A fuzzy regression model illustrates the possibility of a considered system so that all given data are included in fuzzy intervals obtained by the model. So the fuzzy regression model is easily warped and bended by data with large error, when the error data are mixed in the possibilistic data. Especially the marginal data have the influence on configurating he shape of the model. Hyperelliptic function is employed to select marginal data by means of recognizing data positions by adjusting its parameters. The fuzzy robust regression model is proposed in this paper so that the data with large error can be removed out of the marginal data using distance. As an application of the fuzzy robust regression model, the relation between economy in Asian region and environmental problem is analyzed. This application shows the meaning and effectiveness of the fuzzy robust regression model.

元の言語English
ページ(範囲)512-524
ページ数13
ジャーナルJournal of the Operations Research Society of Japan
39
発行部数4
出版物ステータスPublished - 1996
外部発表Yes

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Robust regression
Regression analysis
Regression model
Fuzzy regression
Asia

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Management Science and Operations Research

これを引用

Fuzzy robust regression analysis based on a hyperelliptic function. / Yabuuchi, Yoshiyuki; Watada, Junzo.

:: Journal of the Operations Research Society of Japan, 巻 39, 番号 4, 1996, p. 512-524.

研究成果: Article

Yabuuchi, Yoshiyuki ; Watada, Junzo. / Fuzzy robust regression analysis based on a hyperelliptic function. :: Journal of the Operations Research Society of Japan. 1996 ; 巻 39, 番号 4. pp. 512-524.
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