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SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning

Kareem S. AggourContact Information, Marc PaveseContact Information, Piero P. BonissoneContact Information and William E. CheethamContact Information

(3)  GE Global Research One Research Circle, 12309 Niskayuna, NY
Abstract
A generic Case-Based Reasoning tool has been designed, implemented, and successfully used in two distinct applications. SOFT-CBR can be applied to a wide range of decision problems, independent of the underlying input case data and output decision space. The tool supplements the traditional case base paradigm by incorporating Fuzzy Logic concepts in a flexible, extensible component-based architecture. An Evolutionary Algorithm has also been incorporated into SOFT-CBR to facilitate the optimization and maintenance of the system. SOFT-CBR relies on simple XML files for configuration, enabling its widespread use beyond the software development community. SOFT-CBR has been used in an automated insurance underwriting system and a gas turbine diagnosis system.

Contact Information Kareem S. Aggour
Email: aggour@research.ge.com

Contact Information Marc Pavese
Email: pavese@research.ge.com

Contact Information Piero P. Bonissone
Email: bonissone@research.ge.com

Contact Information William E. Cheetham
Email: cheetham@research.ge.com
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Referenced by
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  1. Patterson, Angie (2005) Six Sigma Applied Throughout the Lifecycle of an Automated Decision System. Quality and Reliability Engineering International 21(3)
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