Analysis of Insurance Data By Fuzzy Data Mining

Mehmet Ali Alan (), Fuat Çamlıbel () and Ali Rıza İnce ()
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Mehmet Ali Alan: Cumhuriyet University
Fuat Çamlıbel: Cumhuriyet University
Ali Rıza İnce: Cumhuriyet University

Eurasian Business & Economics Journal, 2017, vol. 12, issue 12, 103-116

Abstract: In this study, data mining was studied using insurance data by fuzzy data mining method. By using insurance data, the algorithm of the fuzzy class which classifies this data most successfully as well as the classes that this algorithm will generate are tried to be determined. As a result of the study, it was found that the VQNN algorithm is the most successful algorithm in classifying the insurance data and the vehicle characteristics are more determinative than the driver characteristics in determining the accident status.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eas:buseco:v:12:y:2017:i:12:p:103-116

DOI: 10.17740/eas.econ.2017.V12-8

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