## 抄録

Fuzzy multivariate analyses including linear regression analysis, fuzzy time-series analysis, fuzzy possibilistic linear model, etc. are formulated in terms of the extension principle. One objective of a fuzzy linear regression model is to build a model using fuzzy which represent the possibilities included in the system. In this paper in order that we can overcome this issue, we propose the effective method to decrease drastically the number of samples in terms of convex hull method. In this paper stress is placed on that (1) only vertex points obtained by the convex hull are constraints on a linear programming on that (2) the convex hull approach works efficiently in real-time data gathering, and on that (3) the number of vertexes obtained by the convex hull will not increase so much. Using a numerical example, we show difference between both the convex hull and the conventional approaches to decrease the number of samples in building the model. We also illustrate and build the oral age model using real data about the age and the number of sound teeth based on Convex Hull.

本文言語 | English |
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ホスト出版物のタイトル | Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS |

編集者 | M.H. Smith, W.A. Gruver, L.O. Hall |

ページ | 867-871 |

ページ数 | 5 |

巻 | 2 |

出版ステータス | Published - 2001 |

外部発表 | はい |

イベント | Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC 継続期間: 2001 7月 25 → 2001 7月 28 |

### Other

Other | Joint 9th IFSA World Congress and 20th NAFIPS International Conference |
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City | Vancouver, BC |

Period | 01/7/25 → 01/7/28 |

## ASJC Scopus subject areas

- コンピュータ サイエンス（全般）
- メディア記述