Abstract

http://ssrn.com/abstract=3459
 


 



Insurance Rate Changing: A Fuzzy Logic Approach


V.R. Young


University of Michigan at Ann Arbor - Department of Mathematics


JOURNAL OF RISK AND INSURANCE, Vol. 63, No. 3, September 1996

Abstract:     
This article describes how fuzzy logic can be used to make insurance pricing decisions that consistently consider supplementary data, including vague or linguistic objectives of the insurer. The theory of fuzzy logic was developed in the 1970s to improve the accuracy and efficiency of expert systems, and through it, one can account for vague notions whose boundaries are not clearly defined. Using group health insurance data from an insurance company, I show how to build and fine-tune fuzzy logic models for changing rates to reflect supplementary data.

JEL Classification: D8, C4, C5, G12, G13

Accepted Paper Series





Not Available For Download

Date posted: September 26, 1996  

Suggested Citation

Young, V.R., Insurance Rate Changing: A Fuzzy Logic Approach. JOURNAL OF RISK AND INSURANCE, Vol. 63, No. 3, September 1996. Available at SSRN: http://ssrn.com/abstract=3459

Contact Information

Virginia R. Young (Contact Author)
University of Michigan at Ann Arbor - Department of Mathematics ( email )
2074 East Hall
Ann Arbor, MI
United States
734-764-7227 (Phone)
Feedback to SSRN


Paper statistics
Abstract Views: 742

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo4 in 0.313 seconds