Supporting Islamic Insurance New Hire Training Using Fuzzy Rules


Abdul Razak, Siti Fatimah and Tan, Choo Kim and Tan, Choo Peng and Lew, Sook Ling (2013) Supporting Islamic Insurance New Hire Training Using Fuzzy Rules. Journal of Software and Systems Development, 2013. ISSN 2166-0824

[img] Text
Restricted to Repository staff only

Download (290kB)


This study presents a fuzzy rule base which may facilitate Islamic insurance operators in training new hires, a.k.a agents as their sales representatives especially in identifying and suggesting policies which suit a potential or existing client needs and requirements. Initially, this task accomplishment is based on agents’ intuitions and experience which lacks from new or inexperienced agents. This study adapts an expert system framework and induced fuzzy rules from existing customer database. The new agents may support their propositions to customers based on the rules induced.

Item Type: Article
Uncontrolled Keywords: Decision support, insurance, decision making
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 13 Jan 2017 05:22
Last Modified: 13 Jan 2017 05:22


Downloads per month over past year

View ItemEdit (login required)