Neural networks approach for determining total claim amounts in insurance

DOI10.1016/j.insmatheco.2009.06.004zbMath1231.91171OpenAlexW2042092338MaRDI QIDQ659129

Turkan Erbay Dalkilic, Fatih Tank, Kamile Şanli Kula

Publication date: 10 February 2012

Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.insmatheco.2009.06.004

zbMATH Keywords

neural networksleast squares methodclaim amount paymentsfuzzy if-then rulestotal claim amount

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

A partial-robust-ridge-based regression model with fuzzy predictors-responses

Uses Software

• ANFIS

Cites Work

• Fuzzy logic in insurance
• Applying robust regression to insurance
• Applying fuzzy adaptive network to fuzzy regression analysis
• Fuzzy identification of systems and its applications to modeling and control
• Switching regression analysis by fuzzy adaptive network
• Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks
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