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.
Keywords for this software
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Armengol, Eva; Esteva, Francesc; Godo, Lluís; Torra, Vicenç: On learning similarity relations in fuzzy case-based reasoning (2004)
- de Castro, Pablo Alberto; Camargo, Heloisa A.: A study of the reasoning methods impact on genetic learning and optimization of fuzzy rules (2004)
- Aggour, Kareem S.; Pavese, Marc; Bonissone, Piero P.; Cheetham, William E.: SOFT-CBR: A self-optimizing fuzzy tool for case-based reasoning (2003)
- Cheetham, Bill; Cuddihy, Paul; Goebel, Kai: Applications of soft CBR at General Electric (2001)