Integrating case-based reasoning and expert system techniques for solving experience-oriented problems

Experience-oriented problems can be solved based on previous cases or an expert's experience, but cannot be solved by conventional algorithms. Effectively managing knowledge acquisition and problem-solving tasks is crucial in the construction domain in which experience accumulation is at a retarded pace. While Expert Systems are extensively employed to solve complex problems in the construction domain, the Case-Based Reasoning technique provides a valuable alternative when previous cases can be properly modeled. However, use of a single technique alone may not yield optimum solutions. This paper presents a hybrid model, capable of integrating Case-Based Reasoning and Expert System techniques, for knowledge acquisition and problem-solving of experience-oriented problems. The proposed model is implemented and demonstrated by estimating the slurry wall's duration at the project planning stage. Test results indicate that solutions generated by the proposed hybrid model are better than those generated by using a single technique.