Fuzzy robust regression model building through possibility maximization and analysis of japanese major rivers

Yoshiyuki Yabuuchi, Junzo Watada

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    A fuzzy regression model illustrates the possibilities of the target system by including all data in the model. Inuiguchi et al., Tajima and Yabuuchi et al. are independently working on coinciding between the center of a possibility distribution and the center of a fuzzy regression model. Typically, samples influence and distort the shape of the interval model such as a fuzzy regression model if they are far from the center of data. Yabuuchi and Watada have developed a model for describing the system possibility using the center of a fuzzy regression model and an approach that mends the distortion of the model. In this paper, the approach to describe the system possibility and to remove influences of unusual data will be improved. And this approach will be compared with our previous approach using a numerical example.

    Original languageEnglish
    Pages (from-to)1033-1041
    Number of pages9
    JournalICIC Express Letters
    Volume9
    Issue number4
    Publication statusPublished - 2015 Jan 1

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    Keywords

    • Fuzzy regression model
    • Interval
    • Possibility grade
    • Robustness

    ASJC Scopus subject areas

    • Computer Science(all)
    • Control and Systems Engineering

    Cite this

    Fuzzy robust regression model building through possibility maximization and analysis of japanese major rivers. / Yabuuchi, Yoshiyuki; Watada, Junzo.

    In: ICIC Express Letters, Vol. 9, No. 4, 01.01.2015, p. 1033-1041.

    Research output: Contribution to journalArticle

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