PROCESS FOR OPTIMIZATION OF INSURANCE UNDERWRITING SUITABLE FOR USE BY AN AUTOMATED SYSTEM

摘要

A robust process for automating the tuning and maintenance of decision−making systems is described. 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 and accuracy of decision−making, and a reliable method to optimally tune these parameters is critical to the quality of decision−making and maintainability of these systems.