Fuzzy Model for Credit-Linked Life Insurance

Abstract

The aim of this project is to continue adjusting the price of life insurance linked to credits according to the profiles of the different characteristics of the insured. We will focus on the mathematical development of the Pichat Algorithm method in the field of fuzzy logic study, with the help of the Hamming distance method to find the subrelations of maximum similarity between different life insurance products. It allows us to take a new approach to measuring the similarity of various life insurance products, incorporating uncertainty management to more accurately match policies with policyholders' profiles. Therefore, we minimize the impact of the lack of information when making the decision.