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

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 SOFTCBR 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.

• Type: Conference
• Year: 2003
• Where: ICCBR
• Authors: Kareem S. Aggour, Marc Pavese, Piero P. Bonissone, William Cheetham
• Keywords: Generic Case-based Reasoning, ICCBR 2003, Input Case Data, Output Decision Space