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http://dx.doi.org/10.5391/JKIIS.2007.17.6.731

A Nutrition Status Analysis System Based on Hierarchical Fuzzy Inference Approach  

Son, Chang-S. (대구가톨릭대학교 컴퓨터정보통신공학부)
Jeong, Gu-Beom (상주대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.6, 2007 , pp. 731-737 More about this Journal
Abstract
In this paper, we propose a system for analyzing nutrition status based on hierarchical fuzzy inference approach, where the hierarchical fuzzy approach used to analyze the transition process on the nutritional status from an obesity degree, the previous nutritional status, and the eating pattern with an individual. Moreover we discussed about the selection method of fuzzy membership intervals of the next layer to improve the reliability of inference results in hierarchical fuzzy system, where their intervals are modified by using statistical information of the defuzzified results obtained from the previous layer. To show the effectiveness of this system, we evaluated the nutritional status from the information of anthropometric measurement, biochemical test, and INQ on 113 people over the age of 65, and also analyzed their nutritional status.
Keywords
Hierarchical fuzzy inference; Nutrition evaluation;
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