Abstract
Case-based reasoning (CBR) utilizes old solutions to solve a present problem. However, as no past situation is ever exactly the same as a new one, old solutions should be fitted for new circumstances, which is called case adaptation. Thus, the success of CBR depends on the ability of case adaptation. Generally, the case adaptation method can be categorized by two methods: decreasing the need for adaptation and increasing the capability. Nevertheless, previous research has focused on applying the method itself and rarely examined the adaptation or candidates selection. As an effort to enhance the performance of CBR, this research develops a case adaptation method that is balanced for both methods. To validate the method, a CBR cost model was developed that has an adaptation function using 129 military barrack projects in Korea, and then the method was tested by using 13 test cases. Furthermore, an applicability test was conducted based on 164 Korean public apartment projects.
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