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Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects

机译:模糊认知图法分析建设项目变更单的成因

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摘要

The negative impacts of change orders on construction projects are well documented in the literature. Effective management of change orders requires a comprehensive approach to identify and analyze their causes. A change order in construction projects is usually an outcome of combining several interrelated causes, rather than a single cause. Most of the previous studies have considered the causes of change orders as independent causes. However, the causes of change orders have a complicated causal structure, which makes it difficult to independently analyze and prioritize them. Therefore, this study contributes to the body of knowledge in change order management by proposing a fuzzy cognitive map (FCM) approach, which has the capability to analyze the causes of change orders considering their entire causal interactions. The root causes of change orders, as well as the direct ones, can be identified and prioritized by the proposed approach. The manageability of the causes can also be analyzed by the FCM approach. The performance of the proposed approach is evaluated by implementing it in a real construction project. A modeling-validating approach is used to construct and validate the FCM model. It is believed that the proposed FCM approach presents a powerful tool for analyzing the causes of change orders. In addition, this research contributes to knowledge in the area of FCMs by proposing a new inference law.
机译:变更单对建设项目的负面影响已在文献中充分记录。有效地管理变更单需要一种综合的方法来识别和分析其原因。建设项目的变更单通常是结合多个相互关联的原因而不是单个原因的结果。先前的大多数研究都将变更单的原因视为独立原因。但是,变更单的原因具有复杂的因果结构,这使得很难独立分析和确定优先级。因此,本研究通过提出模糊认知图(FCM)方法,为变更单管理中的知识体系做出了贡献,该方法具有考虑到变更单的全部因果相互作用来分析变更单的原因的能力。所提出的方法可以识别和确定变更单的根本原因和直接原因。原因的可管理性也可以通过FCM方法进行分析。通过在实际的建筑项目中实施该方法,可以评估该方法的性能。建模验证方法用于构建和验证FCM模型。可以相信,提出的FCM方法为分析变更单的原因提供了强大的工具。另外,这项研究通过提出新的推理定律,为FCM领域的知识做出了贡献。

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