Predicting Profit Performance of International Construction Projects This study developed a practical casebased reasoning (CBR) model to predict the profit performance of international construction project (ICP) due to the nature of the prediction as a projectbased, unstructured, and small sample issue. The proposed model helps contractors to make reasonable bid decision or risk treatment in the early stage of ICPs by retrieving similar cases. Grey relational analysis is applied to respectively measure the weight and variable similarity so that case similarity can be scored. Finally, the proposed model is tested on the basis of 30 actual overseas rail projects. The results indicate that the proposed CBR model performs at a higher level of accuracy than other classical CBR models. A structured process to choose appropriate methods for CBR model development by considering the prediction accuracy performance of methods available is also included.

Design and Application of a Case Analysis System for Handling Power Grid Operational Accidents Based on CaseBased Reasoning In recent years, power grid accidents have occurred frequently and higher requirements have been placed on their safety operation. In current safety management in the world, there is an effective practice that uses a unified standard for structuring an accident case database and based on that database, conducts quantitative analysis to cope with accident risks. However, that is not the case for power safety management. Casebased reasoning (CBR) is such a process that solves new problems based on the solutions to similar past problems. It works by matching a current problem with historical cases and solutions in a database, in order to obtain similar case solutions or inspirations. In the matching process, if necessary, such past solutions may be modified in order to better adapt to the current actual problems. Based on the CBR method, this paper proposes how to construct a case database of power grid operational accidents, provide data support for management of power grid risks and provide knowledge services for accurate grasping of grid accident development dynamics and making quick decisions to rapidly response to the emergencies. First, it designs an operational accident case database after considering the following three aspects: case features, power grid features and accident features based on safety management theory. Secondly, in terms of how to use the power grid operational accident case database, it proposed a twolevel search strategy, as well as the corresponding similarity calculation methods for different feature attributes of the case. Finally, it carried out a demonstration to verify the model by selecting four typical grid accidents. The grid database and CBR strategy proposed in this article could help Chinaxe2x80x99s power grids practice intelligent analysis of grid operational accidents and improve digitalization in safety management.