Prediction of Breath Alcohol Concentration after Drinking by Fuzzy Reasoning

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  • KIYOZUMI Ryosaku
    Department of Life, Environment and Information, Faculty of Domestic Science, Tokushima Bunri University
  • YOSHIMURA Toshio
    Department of Mechanical Engineering, Faculty of Engineering, University of Tokushima
  • SOEDA Takashi
    Tokushima Bunri University

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Other Title
  • 飲酒後の呼気中アルコール濃度のファジィ推論による予測 : 2次遅れ+むだ時間要素によるモデル化
  • インシュゴ ノ コキチュウ アルコール ノウド ノ ファジィ スイロン ニヨル

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This paper is concerned with the use of fuzzy reasoning in predicting breath alcohol concentration(BrAC)after drinking. Fuzzy reasoning is adopted to resolve the difficulties in concentration curve, where weight and age affect the maximum value and the time history of BrAC after drinking. The prediction model applied uses the human weight, age and body mass index(BMI)as input variables, and the impulse response functions with time-delay as the output in the fuzzy control rules. The deffuzified value of the output from eight kinds of function proposed in this paper could estimate weighted averages of all the outputs.

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