Description: Presented at October 1985 Annual Meeting. This session focused on three projects funded by the Actuarial Education and Research Fund: risk models, operations research applications for actuaries and probability modeling of losses.

Description: This abstract describes a paper that presents examples of Risk Assessment application of Fuzzy Logic in the areas of operational risk and hazard risk.

Description: This article provides an overview of three diverse fuzzy logic methodologies that can be employed to compute the value-at-risk of a portfolio.

Description: This paper examines four and-a-half years of prescription records for an elderly population who have relatively comprehensive out-of-hospital drug coverage under the Pharmaceutical Assistance Contract for the Elderly program in Pennsylvania. The result is a discussion of the determination of non-parametric estimations of the distributions. From Actuarial Research Clearing House 1991, Vol 1.

Description: The study is based on a sample of actuarial reports attached to the form 550C3, Schedule B, which were sent to the Department of Labor during the period June 1976 to May 1977.

Description: This is a August 1, 1990 memorandum sent to selected members of the Society of Actuaries announcing the creation of an Education and Research Section. From Actuarial Research Clearing House, 1991 Vol. 1.

Description: This paper investigates a fundamental approach to the development of the expected cost of vesting in pension plans. From Transactions of Society of Actuaries 1972, Vol. 24, Pt. 1, No. 70.

Description: Genetic algorithms [GAs] and neural networks [NNs] are currently being used in actuarial and financial modeling. Nonetheless, while there is a general awareness of the nature of these techniques, there is often only vague familiarity with the details of how they are implemented. This paper is intended to help alleviate this situation. Its purpose is to present an overview of GAs and NNs, which includes an explanation of what they are, how they work, and an example of how they are implemented.

Description: This paper gives an overview of fuzzy optimization, presents applications of fuzzy optimization and investigates ways to extend the methodology to risk assessment.

Description: The purpose of this article is to provide an overview of soft computing applications in actuarial science. Soft computing refers to modes of computing in which precision is traded for tractability, robustness and ease of implementation.