Araştırma Makalesi
BibTex RIS Kaynak Göster

Fuzzy Local Polynomial Nonparametric Regression Models

Yıl 2012, Cilt: 9 Sayı: 2, 84 - 92, 15.08.2012

Öz

In this study, nonparametric fuzzy regression models are considered. Existing fuzzy regression models are compared with improved fuzzy version of local nonparametric cubic regression model. In this new approach, it is found that performance of this model has better results according to others.

Kaynakça

  • Cheng, C. B., Lee E. S., 1999. Nonparametric Fuzzy Regression - k-NN and Kernel Smothing Techniques, Computers and Mathematical with Applications, 38, 239-251.
  • Cheng, C. B., Lee E. S., 2001. Fuzzy Regression with Radial Basis Function Networks, Fuzzy Sets and Systems, 119,291-301.
  • Diamond, P., 1988. Fuzzy Least Squares, Information Sciences 46,141-157.
  • Fan, J., Gijbels, I., 1996. Local Polinomial Modelling and its Applications, Chapman & Hall/CRe.
  • Hong, H., Song, J.K., Do, H., 2001. Fuzzy Least Squares Linear Regression Analysis Using Shape Preserving Operations, Information Sciences 138, 185-193.
  • Hong, Y. Y., Chao, Z. T., Yang, M. S. (2004). A Fuzzy Multiple Linear Regression Based Loss Formula in Electric Distribution Systems, Fuzzy Sets and Systems 142, 293-306.
  • Ishibuchi, H., Tanaka, H. (1992). Fuzzy Regression Analysis Using Neural Networks, Fuzzy Sets and Systems 50, 257-265.
  • Kao, C., Chyu, C. L., 2002. A Fuzzy Linear Regression Model with Better Explanatory Power, Fuzzy Sets and Systems 126,401-409.
  • Loader, C., 1999. Local Regression and Likelihood, Springer. Nasrabadi, M., Nasrabadi, E., 2004. A Mathematical-Programming Approach to Fuzzy Linear Regression Analysis, Applied Mathem. and Computation 155,673-688.
  • Sanchez, J. D., Gomez, A. T., 2003. Applications of Fuzzy Regression in Actuarial Analysis, Journal of Risk Insurance 70, 665-699.
  • Tanaka, H., Uejima, S., Asai, K., 1982. Linear Regression Analysis with Fuzzy Model, IEEE Transactions on Systems, Man. and Cybernetics 12,903-907.
  • Wang, N., Zhang, W. X., Mei, C. L., 2007. Fuzzy Nonparametric Regression Based on Local Linear Smoothing Technique, An International Journal Information Sciences, 177, 3882-3900.
  • Wood, S. N., 2006. Generalized Additive Models (An Introduction with R), Chapman & Hall/CRC.

Bulanık Yerel Polinomiyal Parametrik Olmayan Regresyon Modelleri

Yıl 2012, Cilt: 9 Sayı: 2, 84 - 92, 15.08.2012

Öz

Bu çalışmada parametrik olmayan bulanık regresyon modelleri göz önüne alınmıştır. Mevcut bulanık regresyon modelleri, bulanık versiyonu geliştirilen parametrik olmayan yerel kübik regresyon modeli ile karşılaştırılmıştır. Bu yeni yaklaşımda, önerilen modelin performansının diğerlerine göre daha iyi sonuçlara sahip olduğu bulunmuştur.

Kaynakça

  • Cheng, C. B., Lee E. S., 1999. Nonparametric Fuzzy Regression - k-NN and Kernel Smothing Techniques, Computers and Mathematical with Applications, 38, 239-251.
  • Cheng, C. B., Lee E. S., 2001. Fuzzy Regression with Radial Basis Function Networks, Fuzzy Sets and Systems, 119,291-301.
  • Diamond, P., 1988. Fuzzy Least Squares, Information Sciences 46,141-157.
  • Fan, J., Gijbels, I., 1996. Local Polinomial Modelling and its Applications, Chapman & Hall/CRe.
  • Hong, H., Song, J.K., Do, H., 2001. Fuzzy Least Squares Linear Regression Analysis Using Shape Preserving Operations, Information Sciences 138, 185-193.
  • Hong, Y. Y., Chao, Z. T., Yang, M. S. (2004). A Fuzzy Multiple Linear Regression Based Loss Formula in Electric Distribution Systems, Fuzzy Sets and Systems 142, 293-306.
  • Ishibuchi, H., Tanaka, H. (1992). Fuzzy Regression Analysis Using Neural Networks, Fuzzy Sets and Systems 50, 257-265.
  • Kao, C., Chyu, C. L., 2002. A Fuzzy Linear Regression Model with Better Explanatory Power, Fuzzy Sets and Systems 126,401-409.
  • Loader, C., 1999. Local Regression and Likelihood, Springer. Nasrabadi, M., Nasrabadi, E., 2004. A Mathematical-Programming Approach to Fuzzy Linear Regression Analysis, Applied Mathem. and Computation 155,673-688.
  • Sanchez, J. D., Gomez, A. T., 2003. Applications of Fuzzy Regression in Actuarial Analysis, Journal of Risk Insurance 70, 665-699.
  • Tanaka, H., Uejima, S., Asai, K., 1982. Linear Regression Analysis with Fuzzy Model, IEEE Transactions on Systems, Man. and Cybernetics 12,903-907.
  • Wang, N., Zhang, W. X., Mei, C. L., 2007. Fuzzy Nonparametric Regression Based on Local Linear Smoothing Technique, An International Journal Information Sciences, 177, 3882-3900.
  • Wood, S. N., 2006. Generalized Additive Models (An Introduction with R), Chapman & Hall/CRC.
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekonometrik ve İstatistiksel Yöntemler
Bölüm Araştırma Makaleleri
Yazarlar

Memmedağa Memmedli

Münevvere Yıldız

Ozer Ozdemir

Yayımlanma Tarihi 15 Ağustos 2012
Yayımlandığı Sayı Yıl 2012 Cilt: 9 Sayı: 2

Kaynak Göster

APA Memmedli, M., Yıldız, M., & Ozdemir, O. (2012). Bulanık Yerel Polinomiyal Parametrik Olmayan Regresyon Modelleri. İstatistik Araştırma Dergisi, 9(2), 84-92.