Abstract
The case-based reasoning (CBR) methodology can be augmented with the ability to determine the confidence in the correctness of individual solutions. A confidence calculation can be added to the REUSE portion of the CBR methodology. The confidence calculation takes confidence indicators, like "number of cases retrieved with best solution" and "average similarity of cases which suggest an alternative solution," and generates a confidence value. The information gain algorithm C4.5 can be used to select the best confidence indicators by evaluating their usefulness in historical cases. A genetic algorithm can be used to optimize and maintain the confidence calculation. © Springer-Verlag 2004.
Cite
CITATION STYLE
Cheetham, W., & Price, J. (2004). Measures of solution accuracy in case-based reasoning systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3155, 106–118. https://doi.org/10.1007/978-3-540-28631-8_9
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
