Case-Based Reasoning Framework for Generating Wide-Range Decision Support Systems.
Vladimir Kurbalija, Mirjana Drenovak Ivanović, Zoran Budimac · Artificial Intelligence and Pattern Recognition · 2008
Case-Based Reasoning (CBR) is a relatively new and promising technique of artificial intelligence. By CBR, every new problem is solved by adapting the solutions of the similar problems previously solved successfully. During the past few years CBR has become a very popular technique for application in knowledge-based systems for different domains because the experience has been included in solving every new problem. The intention of our research is to develop a robust and general framework which supports generation of widerange decision support systems by using different CBR approaches. Presented framework integrates two previously developed CBR shells: CaBaGe and CuBaGe.