A Decision Model for Insurance Advisors: A Case Study

Guillaume, 2001, Designing fuzzy inference systems from data: an interpretability-oriented review, IEEE Transactions on Fuzzy Systems;, 9, 426, 10.1109/91.928739 Zadeh, 1995, Discussion: probability theory and fuzzy logic are complementary rather than competitive, Technometrics;, 37, 271, 10.1080/00401706.1995.10484330 Shapiro, 2004, Fuzzy Logic in Insurance: the first 20 years, Journal of Insurance: Mathematics and Economics;, 35, 399 Huang CS, Lin YJ, Lin CC. An evaluation model for determining insurance policy using AHP and fuzzy logic: case studies of life and annuity insurances, Proceedings of WSEAS International Conference on Fuzzy Systems; 2007.Vol.8. p. 126-131. Huang, 2008, Determination of insurance policy using a hybrid model of AHP, fuzzy logic and Delphi technique: a case study, WSEAS TRANSACTIONS on COMPUTERS;, 7, 660 Lazim Abdullah, Mohd Nordin Abd Rahman. Employee likelihood of purchasing health insurance using fuzzy inference system, International Journal of Computer Science Issues; 2012 vol. 9, issue 1, no. 2, p. 112-116. Alonso JM., Magdalena L. Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment, In Lecture Notes in Artificial Intelligence - 9th International Workshop on Fuzzy Logic and Applications, Springer-Verlag, LNAI; 2011;6857:212-219. Wang, 1992, Generating fuzzy rules by learning from examples, IEEE Trans. on Systems, Man and Cybernetics;, 22, 1414, 10.1109/21.199466 Delgado, 1992, A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling, IEEE Transactions on Fuzzy Systems;, 5, 223, 10.1109/91.580797 DeWit, GW, Underwriting and Uncertainty, Insurance: Mathematics and Economics; 1982;1:277-285. Berenji, 1992, 69 Chennakesava RA, Fuzzy Logic and Neural Networks: Basic Concepts & Application. New Age International Publishers; ISBN: 8122421822. 2008. Cox, 1998 Kostas, 2002, GENESYS: an expert system for production scheduling, Industrial Management & Data Systems, 102, 309