FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
A schema to determine basketball defense strategies using a fuzzy expert system
FS'06 Proceedings of the 7th WSEAS International Conference on Fuzzy Systems
Implementation of classifiers for choosing insurance policy using decision trees: a case study
WSEAS Transactions on Computers
An application of fuzzy time series to improve ISE forecasting
WSEAS Transactions on Mathematics
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Based on a previous study, this paper presents evaluation models for selecting insurance policies. Five models have been built for five insurances, respectively, including life, annuity, health, accident, and investment-oriented insurances. The proposed models consist of analytical hierarchy process (AHP), fuzzy logic and the Delphi technique. The Delphi technique is employed to select inputs, define fuzzy expressions, and generate evaluation rules for the models. Four variables are selected as the inputs including age, annual income, educational level and risk preference. These inputs are transferred to fuzzy variables using trapezoidal membership functions and then fed to AHP. To build the models, we interviewed twenty domain experts with at least three years of working experience in insurance companies. To validate the performance, we designed a computer program and used 300 insurance purchase records to examine the evaluation results. Validation results and conclusive remarks are also provided at the end of this paper.