Skip to main content
Log in

On a fuzzy cash flow model with insurance applications

  • Published:
Decisions in Economics and Finance Aims and scope Submit manuscript

Abstract

We consider a discrete-time model for the cash flow of an insurance portfolio/business in which the net losses are random variables, while the return rates are fuzzy numbers. We choose the shape of these fuzzy numbers trapezoidal, Gaussian or lognormal, the last one having a more flexible shape than the previous ones. For the resulting fuzzy model, we evaluate the fuzzy present value of its wealth; then, we propose an approximation for the chance of ruin and a ranking criterion which could be used to compare different risk management strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Andrés-Sánchez, J., González-Vila Puchades, L.: Using fuzzy random variables in life annuities pricing. Fuzzy Sets Syst. 188, 27–44 (2012)

    Article  Google Scholar 

  • Asmussen, S., Albrecher, H.: Ruin Probabilities. World Scientific, Singapore (2010)

    Google Scholar 

  • Bortolan, G., Degani, R.: A review of some methods for ranking fuzzy subsets. Fuzzy Sets Syst. 15(1), 1–19 (1985)

    Article  Google Scholar 

  • Buckley, J.J.: The fuzzy mathematics of finance. Fuzzy Sets Syst. 21, 257–273 (1987)

    Article  Google Scholar 

  • Carlsson, C., Fuller, R.: On possibilistic mean value and variance of fuzzy numbers. Fuzzy Sets Syst. 122(1), 315–326 (2001)

    Article  Google Scholar 

  • Chen, S.J., Hwang, C.L.: Fuzzy Multiple Attribute Decision Making. Springer, Berlin (1992)

    Book  Google Scholar 

  • Chiu, C.Y., Park, C.S.: Fuzzy cash flow analysis using present worth criterion. Eng. Econ. 39(2), 113–138 (1994)

    Article  Google Scholar 

  • Fortemps, P., Roubens, M.: Ranking and defuzzification methods based on area compensation. Fuzzy Sets Syst. 82(3), 319–330 (1996)

    Article  Google Scholar 

  • Gao, S., Zhang, Z.: Multiplication operation on fuzzy numbers. J. Softw. 4(4), 331–338 (2009)

    Article  Google Scholar 

  • Huang, T., Zhao, R., Tang, W.: Risk model with fuzzy random individual claim amount. Eur. J. Oper. Res. 192, 879–890 (2009)

    Article  Google Scholar 

  • Kaufmann, A., Gupta, M.M.: Fuzzy Mathematical Models in Engineering and Management Science. Elsevier, Amsterdam (1988)

    Google Scholar 

  • Kruse, R., Meyer, K.: Statistics with Vague Data. Reidel, Dordrecht (1987)

    Book  Google Scholar 

  • Kwakernaak, H.: Fuzzy random variables I: definitions and theorems. Inf. Sci. 15, 1–29 (1978)

    Article  Google Scholar 

  • Lemaire, J.: Fuzzy insurance. Astin Bull. 20(1), 33–56 (1990)

    Article  Google Scholar 

  • Liu, Y., Liu, B.: Fuzzy random variables: a scalar expected value operator. Fuzzy Optim. Decis. Mak. 2, 143–160 (2003)

    Article  Google Scholar 

  • Ostaszewski, K.: Fuzzy Sets Methods in Actuarial Science. Society of Actuaries Monograph, Schaumburg (1993)

    Google Scholar 

  • Puri, M., Ralescu, D.: Fuzzy random variables. J. Math. Anal. Appl. 114, 409–422 (1986)

    Article  Google Scholar 

  • Shapiro, A.F.: Fuzzy logic in insurance. Insur. Math. Econ. 35, 399–424 (2004)

    Article  Google Scholar 

  • Tang, Q., Tsitsiashvili, G.: Finite- and infinite-time ruin probabilities in the presence of stochastic returns on investments. Adv. Appl. Probab. 36(4), 1278–1299 (2004)

    Article  Google Scholar 

  • Terceno, A., De Andres, J., Belvis, C., Barbera, G.: Fuzzy methods incorporated to the study of personal insurances. Fuzzy Econ. Rev. 2(1), 105–119 (1996)

    Google Scholar 

  • Vernic, R., Ungureanu, D.: On two particular fuzzy numbers derived from probability distributions. Sci. Bull. Univ. Pitesti—Math. Inf. Ser. 17, 101–112 (2011)

    Google Scholar 

  • Ward, T.L.: Fuzzy discounted cash flow analysis. In: Evans, G.W., Karwowski, W., Wilhelm, M.R. (eds.) Applications of Fuzzy Set Methodologies in Industrial Engineering, pp. 91–102. Elsevier, Amsterdam (1989)

    Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the two anonymous referees for insightful questions and suggestions that helped them to revise and significantly improve the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raluca Vernic.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ungureanu, D., Vernic, R. On a fuzzy cash flow model with insurance applications. Decisions Econ Finan 38, 39–54 (2015). https://doi.org/10.1007/s10203-014-0157-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10203-014-0157-2

Keywords

JEL Classification

Navigation