Open AccessA Nutrition Evaluation System Based on Hierarchical Fuzzy Approach
Author(s) -
Chang-S. Son,
Gu-Beom Jeong
Publication year - 2008
Publication title -
international journal of fuzzy logic and intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 9
eISSN - 2093-744X
pISSN - 1598-2645
DOI - 10.5391/ijfis.2008.8.2.087
Subject(s) - certainty , fuzzy inference , inference , fuzzy logic , reliability (semiconductor) , fuzzy inference system , computer science , adaptive neuro fuzzy inference system , fuzzy control system , data mining , artificial intelligence , machine learning , mathematics , power (physics) , physics , geometry , quantum mechanics
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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