Obesity Evaluation System using Fuzzy Inference

Jeong Gu-Beom; Kim Doo-Ywan

Obesity Evaluation System using Fuzzy Inference

Jeong Gu-Beom, Kim Doo-Ywan, Journal of Internet Computing and Services, Vol. 4, No. 2, pp. 61-68, Apr. 2003
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Keywords: obesity, fuzzy inference, BML waist measurements

Abstract

It has recently become known that the social issue of obesity, caused by increased caloric intake and lack of exercise, is a risk factor in the cause of various adult diseases. Above all, to prevent or cure obesity, we must accurately evaluate the degree of obesity, and we have used BML, WHR, and waist measurements for this purpose. In this paper, we propose an obesity evaluation system based on fuzzy inference using BML and waist measurement. For this purpose, we decided reasoning rule and membership function about BML and waist measurements. The inference result is presented in a descriptive sentence.

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Cite this article

[APA Style]

Gu-Beom, J. & Doo-Ywan, K. (2003). Obesity Evaluation System using Fuzzy Inference. Journal of Internet Computing and Services, 4(2), 61-68.

[IEEE Style]

J. Gu-Beom and K. Doo-Ywan, "Obesity Evaluation System using Fuzzy Inference," Journal of Internet Computing and Services, vol. 4, no. 2, pp. 61-68, 2003.

[ACM Style]

Jeong Gu-Beom and Kim Doo-Ywan. 2003. Obesity Evaluation System using Fuzzy Inference. Journal of Internet Computing and Services, 4, 2, (2003), 61-68.