ファジィネスを含む不確実性を考慮した演繹推論法 On a Reasoning Method Considering Uncertainty with Fuzziness

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In the field of Artificial Intelligence, there are many studies of reasoning method with uncertainty. Recently, research about the reasoning method from observed fact with uncertainty has been developed, and also the reasoning method which distinguishes the kind of uncertainty is proposed by Matsushima et al. Their research shows clarifying the mathematical model of reasoning method with uncertainty in the statistical standpoint. In this paper, we propose a reasoning system model and a method including uncertainty, based on fuzzy theory. Usually, uncertainty includes not only randomness in field of statistics but also vagueness based on the human's subjective judge with fuzziness. We consider the system in which value of observed fact is calculated using concept of fuzzy events. Moreover, we propose an algorithm of deductive reasoning using Newton-Raphson method, for the reasoning problems with randomness or fuzziness in the system.

収録刊行物

  • システム制御情報学会論文誌  

    システム制御情報学会論文誌 19(7), 265-273, 2006-07-15 

    一般社団法人 システム制御情報学会

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各種コード

  • NII論文ID(NAID)
    10021999797
  • NII書誌ID(NCID)
    AN1013280X
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    13425668
  • NDL 記事登録ID
    7969738
  • NDL 雑誌分類
    ZM11(科学技術--科学技術一般--制御工学)
  • NDL 請求記号
    Z14-195
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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