Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
How to Build a Business Rules Engine: Extending Application Functionality through Metadata Engineering (The Morgan Kaufmann Series in Data Management Systems)
Desktop underwriter: Fannie Mae's automated mortgage underwriting expert system
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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An end-to-end system was created at Genworth Financial to automate the underwriting of Long Term Care (LTC) and Life Insurance applications. Relying heavily on Artiticial Intelligence techniques, the system has been in production since December 2002 and today completely automates the underwriting of 19.2% of the LTC applications. A fuzzy logic rules engine encodes the underwriter guidelines and an evolutionary algorithm optimizes the engine's performance. Finally, a natural language parser is used to improve the coverage of the underwriting system.