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Survey of Fuzzy Set Theory in Actuarial Life Modeling

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dc.contributor.advisor Eckley, Douglas Boni, Jean Guy Daniel
dc.creator Boni, Jean Guy Daniel 2016-08-29 2017-10-03T17:27:00Z 2017-10-03T17:27:00Z
dc.identifier doi:10.13021/G8NM3V
dc.description.abstract This thesis describes Actuarial science and Fuzzy Logic as relatively recent fields of mathematics introducing methods for containing uncertainty and vagueness in the line of business in which it is being used. Whereas actuaries work on the financial risk in (re)insurance of future events, ‘Fuzzicists’ aim at modeling the degree to which such events may occur. In the process of researching and writing, the author conducted a literature search and review of Fuzzy Set Theory with a structural approach to actuarial modeling. Following the recent development and discoveries of fuzzy logic, life insurance actuaries gained ultramodern modeling techniques, replacing the sole use of probabilities that had started to become insufficient. This thesis is slated to span the applications of Fuzzy Mathematics in the actuarial modeling of Life Contingencies.
dc.language.iso en en_US
dc.subject fuzzy set theory en_US
dc.subject actuarial life en_US
dc.subject fuzzy clustering en_US
dc.subject life insurance case study en_US
dc.subject mathematics fuzzy en_US
dc.subject survey fuzzy actuarial en_US
dc.title Survey of Fuzzy Set Theory in Actuarial Life Modeling en_US
dc.type Thesis en_US Master of Science in Mathematics en_US Master's en_US Mathematics en_US George Mason University en_US

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