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2005 | 14 | 129-139

Article title

The Fuzzy Methods in Insurance

Authors

Selected contents from this journal

Title variants

Languages of publication

PL

Abstracts

EN
The author presents the selected methods of actuarial science that apply fuzzy set theory as a representation of information vagueness and imprecision. The fuzzy representation of the real-world-problems was proposed due to the nature of the decision maker: propensity for simplification and tendency to describe the problems rather in linguistic than in mathematical manner. In this paper he demonstrates the fuzzy methods that aim at particular actuarial problems: internal rate of return, net present value, underwriting, evaluation of tax liabilities and insurance rate, and classification of individual risk. Among the other the concepts of fuzzy zooming and fuzzy interest curve are described. From the technical standpoint also the actuarial applications of fuzzy pattern recognition are presented. In details he shows the fuzzy c-means algorithm. Finally the author discusses using of expert systems based on fuzzy decision rules in actuarial science. In conclusions he mentions the constraints of presented solutions and the future research area.

Year

Volume

14

Pages

129-139

Physical description

Document type

ARTICLE

Contributors

author
  • P. Wojewnik, Szkola Gl√≥wna Handlowa w Warszawie, Instytut Ekonometrii, al. Niepodleglosci 164, 02-554 Warszawa, Poland

References

Document Type

Publication order reference

Identifiers

CEJSH db identifier
06PLAAAA00731806

YADDA identifier

bwmeta1.element.e314021d-eb81-3a85-84ea-20fa5e584c01
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