A study on fuzzy robust regression and its application to insurance

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Kula K. Ş., TANK F., Dalkiliç T. E.

Mathematical and Computational Applications, cilt.17, sa.3, ss.223-234, 2012 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 3
  • Basım Tarihi: 2012
  • Doi Numarası: 10.3390/mca17030223
  • Dergi Adı: Mathematical and Computational Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.223-234
  • Anahtar Kelimeler: Fuzzy regression, Insurance, Membership function, Robust regression
  • Ankara Üniversitesi Adresli: Evet

Özet

In this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squares but also classical robust regression. Fuzzy robust regression is finally investigated and discussed by an example with real data arose from a well-known insurance company in Turkey.