The insurance industry has numerous areas with potential applications for fuzzy logic (FL).
These include classification, underwriting, projected liabilities, fuzzy future and present …

In this article, we propose several applications of fuzzy regression techniques for actuarial
problems. Our main analysis is motivated, on the one hand, by the fact that several articles in …

It has been twenty-five years since DeWit (1982) first applied fuzzy logic (FL) to insurance.
That article sought to quantify the fuzziness in underwriting. Since then, the universe of …

Several papers in the financial literature propose using fuzzy numbers to model interest rate
uncertainty. However, in our opinion, the first problem to be solved is how to estimate these …

Claim provisions are crucial for the financial stability of insurance companies. This is why
actuarial literature has proposed numerous claim reserving methods, which are usually …

Con una clara orientación de esfuerzos dirigida a conformar de forma integral una
metodología que sirva para el análisis y desarrollo de mejores escenarios para la toma de …

Several papers in the financial literature propose using fuzzy numbers (FNs) to model
interest rate uncertainty. However, in our opinion, the first problem to be solved is how to …

This paper shows how Fuzzy Set Theory can be used in investment analysis when, as usual,
these investments are developed under uncertainty, ie the investor has only subjective …

Abstract Changes in housing price affect both individuals and government since they have
substantial influence on the socio‐economic conditions. Valuations of housing are …

We propose a new definition of mean value and variance for fuzzy numbers whose
membership functions are upper-semicontinuous but are not necessarily continuous. Our …