Preparing Diet List Suggestion with Fuzzy Expert System
Öz
Proportion of disease
is growing due to the malnutrition and sedentary life. In this work, a diet
list is proposed to the user by calculating the necessary amount of calorie
according to gender, weight, height, age and activity level. Diet list are
prepared for seven days of a week as divided by six meals. Parameter assessment
of users and offering recommendations are made via fuzzy expert system.
Prepared diet list are constituted considering calories of nutrients and based
on the dieticians’ general diet list proposals. Developed software also
includes some functions such as nutrition advices, calculation of ideal weight,
information about benefits of several nutrients and calorie evaluation of some
daily activities. Thus, nutrition suggestion software carried out against for
growing obesity and healthy eating problems in order that people would educate
themselves about wellness.
Anahtar Kelimeler
Kaynakça
- World Health Organization. European food and nutrition action plan 2015-2020. WHO Regional Office for Europe 2014 [cited 2016 15 July]; Available from: http://www.euro.who.int/__data/assets/pdf_file/0008/253727/64wd14e_FoodNutAP_140426.pdf.
- World Health Organization. Global Health Risks. 2009 [cited 2016 July, 15]; Available from: http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf.
- Kljusurić, J.G. and Ž. Kurtanjek, Fuzzy logic modelling in nutrition planning-application on meals in boarding schools, in Current Studies of Biotechnology, Vol. III-Food. 2003, Medicinska naklada.
- Kurozumi, K., et al. FML-based Japanese diet assessment system. in Fuzzy Systems (FUZZ), 2013 IEEE International Conference on. 2013. IEEE.
- ŞAHİNER, A. and G. BUZKAN, An Application of Fuzzy Goal Programming to a Specific Diet Problem. Journal of Natural & Applied Sciences, 2010. 14(2).
- Faiz, I., et al. A semantic rules & reasoning based approach for Diet and Exercise management for diabetics. in Emerging Technologies (ICET), 2014 International Conference on. 2014. IEEE.
- Li, H.-C. and W.-M. Ko. Automated food ontology construction mechanism for diabetes diet care. in 2007 International Conference on Machine Learning and Cybernetics. 2007. IEEE.
- Chen, R.-C., et al. Constructing a diet recommendation system based on fuzzy rules and knapsack method. in International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. 2013. Springer.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
OKAN Uyar
SELCUK UNIV
Türkiye
Yayımlanma Tarihi
26 Aralık 2016
Gönderilme Tarihi
16 Kasım 2016
Kabul Tarihi
1 Aralık 2016
Yayımlandığı Sayı
Yıl 2016 Cilt: 4 Sayı: Special Issue-1