International Journal of Fuzzy Logic and Intelligent Systems

  • 제8권2호
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  • Pages.87-93
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  • 2008
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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A Nutrition Evaluation System Based on Hierarchical Fuzzy Approach

  • Son, Chang-S. (Dept. of Electrical Engineering, Yeungnam University) ;
  • Jeong, Gu-Beom (Dept. of Computer Engineering, Sangju Campus, Kyungpook National University)
  • 발행 : 2008.06.01
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초록

In this paper, we propose a hierarchical fuzzy based nutrition evaluation system that can analyze the individuals' nutrition status through the inference results generated by each layer. Moreover, a method to minimize the uncertainty of inference in the evaluated nutrition status is discussed. To show the effect of the uncertainty in fuzzy inference, we compared the results of nutrition evaluation with/without the certainty factor of rules on 132 people over the age of 65. From the experimental results, we can see that the evaluation method with the modified certainty factor provides better reliability than that of the general evaluation method without the certainty factor.

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참고문헌

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