Designing Quality into Expert Systems: A Case Study in Automated Insurance Underwriting
نویسندگان
چکیده
It can be difficult to design and develop artificial intelligence systems to meet specific quality standards. Often, AI systems are designed to be as good as possible rather than meeting particular targets. Using the Design for Six Sigma quality methodology, an automated insurance underwriting expert system was designed, developed, and fielded. Using this methodology resulted in meeting the high quality expectations required for deployment.
منابع مشابه
Automated Life Underwriting
Many life insurance companies are turning to technology to speed and remove cost from the underwriting process. Automated underwriting systems have been developed to reduce the manpower, time and/or data necessary to underwrite a life insurance application, while maintaining the quality of underwriting decisions. Although these systems have been in existence for some time, not much is known abo...
متن کاملDeveloping a Framework for Insurance Underwriting Expert System
The process of insurance underwriting determines whether insurance company will accept an application for insurance. It is a complex decision-making process and due to information overload problems, it becomes harder for the insurance companies to efficiently estimate risks in a reasonable time. In this paper we present a framework of an expert system for insurance premium assessment. It combin...
متن کاملA Fuzzy Logic Based Model for Life Insurance Underwriting When Insurer Is Diabetic
In life insurance medicine the mortality of the applicants with in the period of insurance is assessed on the basis of present risk factors or diseases. Unlike hypertension or overweight, where risk assessment of the medical values is possible directly, the risk assessment of diabetes is a complex problem. If a person is diabetic then to find out the mortality of insurer for life insurance medi...
متن کاملDESIGNING EXPERT SYS'lXMS IN A BUSINESS ENVIRONMENT
The integration of an ES into a business environment presents a different set of problems to the designer. First, it can be difficult to isolate and draw boundaries around the domain of the business problem. Second, there is often a need to generate a large number of expert decisions in a short period of time. That is, there can be many transactions requiring some expertise to process, such as ...
متن کاملEvolutionary Optimization of Fuzzy Decision Systems for Automated Insurance Underwriting
A robust method for automating the tuning and maintenance of fuzzy decision-making systems is presented. A configurable multi-stage mutation-based evolutionary algorithm optimally tunes the decision thresholds and internal parameters of fuzzy rule-based and case-based systems that decide the risk categories of insurance applications. The tunable parameters have a critical impact on the coverage...
متن کامل