Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 35 Sayı: 3, 52 - 58, 04.01.2020

Öz

Kaynakça

  • [1] J.L.Deng, Control problem of grey system, Syst. Control Lett. 5 (1982) 288-294.
  • [2] Yong-Huang Lin, Pin-Chan Lee, Ta-Peng Chang, Adaptive and high-precision grey forecasting model, Expert Syst. Appl. 36 (2009) 9658-9662.
  • [3] S.F. Liu, Y.G. Dang, Z.G. Fang, Grey System Theory and its Application, third ed., Science Press, Beijing, 2004 (Chapter 5).
  • [4] W. Zhou, J.-M. He, Generalized gm (1,1) model and its application in forecasting of fuel production, Applied Mathematical Modelling 37 (9) (2013) 6234-6243.
  • [5] S. Javed, S. Liu, Predicting the research output/growth of selected countries: application of even gm(1,1) and ndgm models, Scientometrics. 115 (1) (2018) 395-413.
  • [6] S.-L. Ou, Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithml, Comput. Electron. Agric. 85 (85) 80 (2012) 33-39.
  • [7] B. Zeng, Y. Tan, H. Xu, J. Quan, L. Wang, X. Zhou, Forecasting the electricity consumption of commercial sector in hong kong using a novelgrey dynamic prediction model, J. Grey Syst. 30 (1) (2018) 157-172.
  • [8] S. Ene, N. Ozturk, Grey modelling based forecasting system for return How of end-of-life vehicles, Technological Forecasting and Social Change 117 (2018) 155-166.
  • [9] X. Ma, Z. Liu, Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in china, Journal of Computational and Applied Mathematics. 324 (2017) 17-24.
  • [10] J.Cui, S.F.Liu, B.Zeng, N.M. Xie, A novel grey forecasting model and its optimization,Applied Mathematical Modelling 37 (2013) 4399–4406.
  • [11] X. Ma, Z. Liu, Y. Wang, Application of a novel nonlinear multivariate grey bernoulli model to predict the tourist income of china, J. Comput. Appl. Math. 347 (2019) 84-94.
  • [12] Z. X. Wang, Q. Li, L. L. Pei, A seasonal gm(1,1) model for forecasting the electricity consumption of the primary economic sectors, Energy 154 (2018) 522-534.
  • [13] D. Akay, M. Atak, Grey prediction with rolling mechanism for electricity demand forecasting of turkey, Energy 32 (9) (2007) 1670-1675.

Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling

Yıl 2020, Cilt: 35 Sayı: 3, 52 - 58, 04.01.2020

Öz

Grey theory is an effective
theory that deals with systems that lack weak information and / or information.
With this theory, effective and very accurate estimates can be created for
future times by utilizing a small number of data. The grey modeling method is a
sub-branch of the theory of grey systems and the modeling process is carried
out with the help of differences equations and differential equations. The
least squares approach plays a role in the precise results of the method. Using
the GM (1,1) modeling method, which is the basis of grey prediction models with
its accuracy and usefulness, health expenditures in Turkey that will be
achieved in the coming years were estimated.These estimates are particularly
useful for health and economic policies.

Kaynakça

  • [1] J.L.Deng, Control problem of grey system, Syst. Control Lett. 5 (1982) 288-294.
  • [2] Yong-Huang Lin, Pin-Chan Lee, Ta-Peng Chang, Adaptive and high-precision grey forecasting model, Expert Syst. Appl. 36 (2009) 9658-9662.
  • [3] S.F. Liu, Y.G. Dang, Z.G. Fang, Grey System Theory and its Application, third ed., Science Press, Beijing, 2004 (Chapter 5).
  • [4] W. Zhou, J.-M. He, Generalized gm (1,1) model and its application in forecasting of fuel production, Applied Mathematical Modelling 37 (9) (2013) 6234-6243.
  • [5] S. Javed, S. Liu, Predicting the research output/growth of selected countries: application of even gm(1,1) and ndgm models, Scientometrics. 115 (1) (2018) 395-413.
  • [6] S.-L. Ou, Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithml, Comput. Electron. Agric. 85 (85) 80 (2012) 33-39.
  • [7] B. Zeng, Y. Tan, H. Xu, J. Quan, L. Wang, X. Zhou, Forecasting the electricity consumption of commercial sector in hong kong using a novelgrey dynamic prediction model, J. Grey Syst. 30 (1) (2018) 157-172.
  • [8] S. Ene, N. Ozturk, Grey modelling based forecasting system for return How of end-of-life vehicles, Technological Forecasting and Social Change 117 (2018) 155-166.
  • [9] X. Ma, Z. Liu, Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in china, Journal of Computational and Applied Mathematics. 324 (2017) 17-24.
  • [10] J.Cui, S.F.Liu, B.Zeng, N.M. Xie, A novel grey forecasting model and its optimization,Applied Mathematical Modelling 37 (2013) 4399–4406.
  • [11] X. Ma, Z. Liu, Y. Wang, Application of a novel nonlinear multivariate grey bernoulli model to predict the tourist income of china, J. Comput. Appl. Math. 347 (2019) 84-94.
  • [12] Z. X. Wang, Q. Li, L. L. Pei, A seasonal gm(1,1) model for forecasting the electricity consumption of the primary economic sectors, Energy 154 (2018) 522-534.
  • [13] D. Akay, M. Atak, Grey prediction with rolling mechanism for electricity demand forecasting of turkey, Energy 32 (9) (2007) 1670-1675.
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Zafer Öztürk 0000-0002-1947-9053

Halis Bilgil 0000-0002-8329-5806

Yayımlanma Tarihi 4 Ocak 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 35 Sayı: 3

Kaynak Göster

APA Öztürk, Z., & Bilgil, H. (2020). Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 35(3), 52-58.
AMA Öztürk Z, Bilgil H. Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. Ocak 2020;35(3):52-58.
Chicago Öztürk, Zafer, ve Halis Bilgil. “Mathematical Estimation of Expenditures in The Health Sector in TURKEY With Grey Modeling”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 35, sy. 3 (Ocak 2020): 52-58.
EndNote Öztürk Z, Bilgil H (01 Ocak 2020) Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 35 3 52–58.
IEEE Z. Öztürk ve H. Bilgil, “Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling”, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, c. 35, sy. 3, ss. 52–58, 2020.
ISNAD Öztürk, Zafer - Bilgil, Halis. “Mathematical Estimation of Expenditures in The Health Sector in TURKEY With Grey Modeling”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi 35/3 (Ocak 2020), 52-58.
JAMA Öztürk Z, Bilgil H. Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2020;35:52–58.
MLA Öztürk, Zafer ve Halis Bilgil. “Mathematical Estimation of Expenditures in The Health Sector in TURKEY With Grey Modeling”. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, c. 35, sy. 3, 2020, ss. 52-58.
Vancouver Öztürk Z, Bilgil H. Mathematical Estimation of Expenditures in The Health Sector in TURKEY with Grey Modeling. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi. 2020;35(3):52-8.

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