Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2016, , 58 - 62, 26.12.2016
https://doi.org/10.18201/ijisae.266528

Öz

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.
  • Mamat, M., et al., Fuzzy Multi-Objective Linear Programming Method Applied in Decision Support System to Control Chronic Disease. Applied Mathematical Sciences, 2013. 7(2): p. 61-72.
  • Lee, C.S., et al., Diet assessment based on type‐2 fuzzy ontology and fuzzy markup language. International Journal of Intelligent Systems, 2010. 25(12): p. 1187-1216.
  • Lee, C.-S., et al., Type-2 fuzzy set and fuzzy ontology for diet application, in Advances in Type-2 Fuzzy Sets and Systems. 2013, Springer. p. 237-256.
  • Mamat, M., et al., Fuzzy linear programming approach in balance diet planning for eating disorder and disease-related lifestyle. Applied Mathematical Sciences, 2012. 6(103): p. 5109-5118.
  • Mák, E., et al. A formal domain model for dietary and physical activity counseling. in International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. 2010. Springer.
  • Hacettepe Üniversitesi Beslenme ve Diyetetik Bölümü. TÜRKIYE’YE ÖZGÜ BESLENME REHBERI. 2004 [cited 2016 July, 15]; Available from: http://beslenme.gov.tr/content/files/yayinlar/kitaplar/diger_kitaplar/beslenme_rehberi.pdf.
  • Pehlivan, A. Çocuk ve Genç Futbolcuda Beslenme. 2009 [cited 2016 July, 15]; Available from: https://www.tff.org/Resources/TFF/Documents/2009DK/FGM/yayinlar/aylik-kitapcik/Sporcuda-Beslenme(Temmuz).pdf.
  • Litchford, M.D., Macronutrient recommendations: protein, carbohydrate, and fat, in The ASMBS Textbook of Bariatric Surgery. 2014, Springer. p. 101-109.
  • Lukaski, H.C., Vitamin and mineral status: effects on physical performance. Nutrition, 2004. 20(7): p. 632-644.
  • Mineral. 2016 [cited 2016 July, 15]; Available from: https://tr.wikipedia.org/wiki/Mineral.
  • Besinlerin Değer Cetveli. 2011 [cited 2016 July, 15]; Available from: http://www.antrenmanyap.com/tr/blog.asp?ID=6&CID=7&AID=20&do=show.
  • Milli Eğitim Bakanlığı. ENERJİ HESAPLAMALARI. 2011 [cited 2016 July,15]; Available from: http://www.megep.meb.gov.tr/mte_program_modul/moduller_pdf/Enerji%20Hesaplamalar%C4%B1.pdf.
  • Calories Burned During Exercise, Activities, Sports and Work. 2016 [cited 2016 July, 15]; Available from: http://www.nutristrategy.com/caloriesburned.htm.

Preparing Diet List Suggestion with Fuzzy Expert System

Yıl 2016, , 58 - 62, 26.12.2016
https://doi.org/10.18201/ijisae.266528

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.

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.
  • Mamat, M., et al., Fuzzy Multi-Objective Linear Programming Method Applied in Decision Support System to Control Chronic Disease. Applied Mathematical Sciences, 2013. 7(2): p. 61-72.
  • Lee, C.S., et al., Diet assessment based on type‐2 fuzzy ontology and fuzzy markup language. International Journal of Intelligent Systems, 2010. 25(12): p. 1187-1216.
  • Lee, C.-S., et al., Type-2 fuzzy set and fuzzy ontology for diet application, in Advances in Type-2 Fuzzy Sets and Systems. 2013, Springer. p. 237-256.
  • Mamat, M., et al., Fuzzy linear programming approach in balance diet planning for eating disorder and disease-related lifestyle. Applied Mathematical Sciences, 2012. 6(103): p. 5109-5118.
  • Mák, E., et al. A formal domain model for dietary and physical activity counseling. in International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. 2010. Springer.
  • Hacettepe Üniversitesi Beslenme ve Diyetetik Bölümü. TÜRKIYE’YE ÖZGÜ BESLENME REHBERI. 2004 [cited 2016 July, 15]; Available from: http://beslenme.gov.tr/content/files/yayinlar/kitaplar/diger_kitaplar/beslenme_rehberi.pdf.
  • Pehlivan, A. Çocuk ve Genç Futbolcuda Beslenme. 2009 [cited 2016 July, 15]; Available from: https://www.tff.org/Resources/TFF/Documents/2009DK/FGM/yayinlar/aylik-kitapcik/Sporcuda-Beslenme(Temmuz).pdf.
  • Litchford, M.D., Macronutrient recommendations: protein, carbohydrate, and fat, in The ASMBS Textbook of Bariatric Surgery. 2014, Springer. p. 101-109.
  • Lukaski, H.C., Vitamin and mineral status: effects on physical performance. Nutrition, 2004. 20(7): p. 632-644.
  • Mineral. 2016 [cited 2016 July, 15]; Available from: https://tr.wikipedia.org/wiki/Mineral.
  • Besinlerin Değer Cetveli. 2011 [cited 2016 July, 15]; Available from: http://www.antrenmanyap.com/tr/blog.asp?ID=6&CID=7&AID=20&do=show.
  • Milli Eğitim Bakanlığı. ENERJİ HESAPLAMALARI. 2011 [cited 2016 July,15]; Available from: http://www.megep.meb.gov.tr/mte_program_modul/moduller_pdf/Enerji%20Hesaplamalar%C4%B1.pdf.
  • Calories Burned During Exercise, Activities, Sports and Work. 2016 [cited 2016 July, 15]; Available from: http://www.nutristrategy.com/caloriesburned.htm.
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Research Article
Yazarlar

OKAN Uyar

Yayımlanma Tarihi 26 Aralık 2016
Yayımlandığı Sayı Yıl 2016

Kaynak Göster

APA Uyar, O. (2016). Preparing Diet List Suggestion with Fuzzy Expert System. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 58-62. https://doi.org/10.18201/ijisae.266528
AMA Uyar O. Preparing Diet List Suggestion with Fuzzy Expert System. International Journal of Intelligent Systems and Applications in Engineering. Aralık 2016;4(Special Issue-1):58-62. doi:10.18201/ijisae.266528
Chicago Uyar, OKAN. “Preparing Diet List Suggestion With Fuzzy Expert System”. International Journal of Intelligent Systems and Applications in Engineering 4, sy. Special Issue-1 (Aralık 2016): 58-62. https://doi.org/10.18201/ijisae.266528.
EndNote Uyar O (01 Aralık 2016) Preparing Diet List Suggestion with Fuzzy Expert System. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 58–62.
IEEE O. Uyar, “Preparing Diet List Suggestion with Fuzzy Expert System”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, ss. 58–62, 2016, doi: 10.18201/ijisae.266528.
ISNAD Uyar, OKAN. “Preparing Diet List Suggestion With Fuzzy Expert System”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (Aralık 2016), 58-62. https://doi.org/10.18201/ijisae.266528.
JAMA Uyar O. Preparing Diet List Suggestion with Fuzzy Expert System. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:58–62.
MLA Uyar, OKAN. “Preparing Diet List Suggestion With Fuzzy Expert System”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, 2016, ss. 58-62, doi:10.18201/ijisae.266528.
Vancouver Uyar O. Preparing Diet List Suggestion with Fuzzy Expert System. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):58-62.