Developing a rule base for recommending insurance products


Abdul Razak, Siti Fatimah and Tan, Shing Chiang and Lim, Way Soong (2014) Developing a rule base for recommending insurance products. In: The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, III (291). Springer Singapore, pp. 321-326. ISBN 978-981458541-5

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This paper presents a fuzzy rule base for insurance prospects profiling based on two main sources, i.e. from dataset and experts. A historical dataset of Islamic insurance policyholders was used as a case study for this purpose. The Wang and Mendel algorithm (WMA) (Wang and Mendel, IEEE Trans Syst Man Cybern 22:1414-1472, [1]) was applied on the dataset to generate fuzzy rules which includes five types of policies with five pre-determined most influential variables, namely age, gender, marital status, monthly salary and job class. Fuzzy rules from the dataset and expert were compared based on similarity and accuracy measures. The rule base is proposed to be used by insurance advisors to make decisions and provide appropriate proposals according to the prospect's profile.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Technology (FET)
Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 24 Jun 2014 04:30
Last Modified: 24 Jun 2014 04:30


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