Process for optimization of insurance underwriting suitable for use by an automated system

US7899688B2 · kind B2 · utility

Assignee

• Genworth Financial, Inc. · US

Inventors

• Piero Patrone Bonissone · Schenectady, US
• Richard Paul Messmer · Rexford, US
• Angela Neff Patterson · Blacksburg, US
• Dan Yang · Westborough, US
• Marc Pavese · Saratoga Springs, US
• Rajesh Venkat Subbu · Clifton Park, US
• Kareem Sherif Aggour · Niskayuna, US

Key dates

• Filing date: Jun 18, 2002
• Grant date: Mar 1, 2011
• Expiry date: Apr 23, 2026

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q40/08
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

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.