Property and application of fuzzy ontology for dietary assessment

Author

Wang, Mei-Hui ; Lee, Chang-Shing ; Chen, Zhi-Wei ; Lo, Chi-Fang ; Kuo, Su-E ; Kuo, Hui-Ching ; Cheng, Hui-Hua

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan

fYear

2010

fDate

18-23 July 2010

Firstpage

1

Lastpage

8

Abstract

Diabetes and cardiovascular diseases have gradually become one of the world´s top ten fatal causes of death for the past few years. As far as the diet is concerned, it is easy to find out how to eat healthily and which food is good for people on the Internet. The diet behavior is highly personalized and also associated with the culture and religion. In this paper, the property of fuzzy ontology is proposed. Moreover, the food ontology and type-2 fuzzy dietary ontology are further applied to the dietary assessment. Additionally, with the technologies of the type-2 fuzzy sets and fuzzy inference approach, the dietary healthy level is obtained to give users a reference for their eating. Experimental results show that the proposed approach is feasible to evaluate the dietary healthy level for the collected meal records.

Keywords

Internet; diseases; fuzzy reasoning; fuzzy set theory; health care; medical information systems; ontologies (artificial intelligence); Internet; cardiovascular disease; diabetes disease; diet behavior; dietary assessment; fuzzy inference approach; type-2 fuzzy dietary ontology; Inference mechanisms; Integrated circuits; Obesity; Ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2010 IEEE International Conference on

Conference_Location

Barcelona

ISSN

1098-7584

Print_ISBN

978-1-4244-6919-2

Type

conf

DOI

10.1109/FUZZY.2010.5584619

Filename

5584619