Integrated case-based reasoning
Zhiwei Ni, Shanlin Yang, LI Long-shu, Rui-Yu Jia · 2004
Case-based reasoning systems solve new problems by using previous problem solving experiences stored as cases in a case base. In recent years the integrated methods of case-based reasoning became an increasingly important research issue for the case-based reasoning community. In this paper we research the integrated case-based reasoning method based on rule-based reasoning, or induction learning technique so as to heighten the efficiency of problem-solving of case-based reasoning. We also utilize genetic algorithm in an integrated case-based reasoning approach. The experiments show that the new model of integrated case-based reasoning has got a better accuracy rate of classification.