Construction projects are often deemed as complex and high-risk endeavours, mostly because of their vulnerability to external conditions as well as project-related uncertainties. Risk management (RM) is a critical success factor for companies operating in the construction industry. RM is a knowledge-intensive process that requires effective management of risk-related knowledge. Although some research has already been conducted to develop tools to support knowledge-based RM processes, most of these tools ignore some critical features, such as live knowledge capture, web-based platform for knowledge sharing and effective case retrieval for learning from past projects. Moreover, several RM phases, such as risk identification, analysis, response and monitoring are not usually integrated. Thus, this study aims to bridge these gaps by developing a knowledge-based RM tool (namely, CBRisk) via case-based reasoning (CBR). CBRisk has been developed as a web-based tool that supports the cyclic RM process and utilises an effective case retrieval method considering a comprehensive list of project similarity features in the form of fuzzy linguistic variables. Finally, the developed tool was evaluated and validated by conducting black-box testing and expert review meeting. Results demonstrated that CBRisk has a considerable potential to enhance the effectiveness of RM in construction projects and may be used in other project-based industries with minimal modifications.

建设项目通常被认为是复杂而高风险的工作，主要是因为它们易受外部条件的影响以及与项目有关的不确定性。对于从事建筑行业的公司而言，风险管理（RM）是成功的关键因素。RM是一个知识密集型过程，需要对风险相关知识进行有效管理。尽管已经进行了一些研究来开发工具来支持基于知识的RM流程，但是其中大多数工具都忽略了一些关键功能，例如实时知识捕获，基于Web的知识共享平台以及从过去的项目中学习的有效案例检索。此外，通常不集成多个RM阶段，例如风险识别，分析，响应和监视。因此，本研究旨在通过基于案例的推理（CBR）开发基于知识的RM工具（即CBRisk）来弥合这些差距。CBRisk已开发为基于Web的工具，支持循环RM流程，并利用有效的案例检索方法，以模糊语言变量的形式考虑了项目相似性特征的综合列表。最后，通过进行黑盒测试和专家评审会议来评估和验证开发的工具。结果表明，CBRisk具有在建筑项目中增强RM有效性的巨大潜力，并且只需进行很少的改动即可用于其他基于项目的行业。CBRisk已开发为基于Web的工具，支持循环RM流程，并利用有效的案例检索方法，以模糊语言变量的形式考虑了项目相似性特征的综合列表。最后，通过进行黑盒测试和专家评审会议来评估和验证开发的工具。结果表明，CBRisk具有在建筑项目中增强RM有效性的巨大潜力，并且只需进行很少的改动即可用于其他基于项目的行业。CBRisk已开发为基于Web的工具，支持循环RM流程，并利用有效的案例检索方法，以模糊语言变量的形式考虑了项目相似性特征的综合列表。最后，通过进行黑盒测试和专家评审会议来评估和验证开发的工具。结果表明，CBRisk具有在建筑项目中增强RM有效性的巨大潜力，并且只需进行很少的改动即可用于其他基于项目的行业。