2 次 形式 メンバシップ関数 による可能性線形システムの同定 † 田 中 英 夫*・石 渕 久 生 * Identification of Possibilistic Linear Systems by Quadratic Membership Functions of Fuzzy Parameters

@inproceedings{Tanaka20092,
  title={2 次 形式 メンバシップ関数 による可能性線形システムの同定 † 田 中 英 夫*・石 渕 久 生 * Identification of Possibilistic Linear Systems by Quadratic Membership Functions of Fuzzy Parameters},
  author={Hideo Tanaka and Hisao Ishibuchi},
  year={2009}
}
We have already formalized several models of the possibilistic linear regression analysis, where it is assumed that possibilistic parameters are non-interactive, i.e., the joint possibilistic distribution of parameters is defined by minimum operators. In this paper, we will deal with the interactive case in which quadratic membership functions defined by A. Celmins are considered. With the same view as described in our former studies, the possibilistic linear system with quadratic membership… CONTINUE READING
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Possibilistic Linear Systems and Their Application to the Linear Regression Model

  • J. Watada
  • Fuzzy Data Analysis by Possibilistic Linear…
  • 1987

Transformation of Fuzzy Interval Data into the Parameter Region of an Explicit Functional Relationship

  • H. Bandemer
  • 1985

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