FUZZY NEURAL NETWORK APPLICATION IN LONG TAIL BUSINESS CLAIM RESERVING: ELBOW METHOD FOR DETERMINING NUMBER OF OPTIMAL CLUSTERS
The development in information technology causes a large number of receiving and recording data, including earthquake insurance data. With the existence of this technology, claim data with various claim characteristics can be recorded more quickly and more accurately. In this Thesis, a system tha...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/39042 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The development in information technology causes a large number of receiving
and recording data, including earthquake insurance data. With the existence of
this technology, claim data with various claim characteristics can be recorded
more quickly and more accurately. In this Thesis, a system that can recognize the
characteristics of claim data is used, namely Fuzzy Neural Network. This system is
then applied to determine the estimated claim reserve for an earthquake insurance
claim data in Indonesia. The amount of claim reserve is an important component
for insurance companies in ensuring the security of the assets of policyholders.
Therefore, it is expected that the estimation of claims reserves using the Fuzzy
Neural Network system produces more precise results compared to other methods,
the Chain Ladder method. |
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