Soft Computing Applications in Actuarial Science
نویسنده
چکیده
The purpose of this article is to provide an overview of soft computing applications in actuarial science. Soft computing (SC) refers to modes of computing in which precision is traded for tractability, robustness and ease of implementation. For the most part, SC encompasses the technologies of fuzzy logic, genetic algorithms, and neural networks, and it has emerged as an effective tool for dealing with control, modeling, and decision problems in complex systems. The paper ends with a general comment on the study. Acknowledgments This work was supported in part by the Robert G. Schwartz Faculty Fellowship at the Penn State University and a grant of the Committee on Knowledge Extension and Research (CKER) of the Society of Actuaries.
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تاریخ انتشار 2001