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首页> 外文期刊>Canadian Journal of Civil Engineering >Methodology for integrating fuzzy expert systems and discrete event simulation in construction engineering
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Methodology for integrating fuzzy expert systems and discrete event simulation in construction engineering

机译：建筑工程中集成模糊专家系统和离散事件模拟的方法

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摘要

This paper demonstrates how fuzzy expert systems can be integrated within discrete event simulation models to enhance their modeling and predictive capabilities for construction engineering applications. A proposed methodology is presented for extracting the information from experts to develop the fuzzy expert system rules. The developed fuzzy expert system is integrated within a discrete event simulation model to enhance its modeling capability by explicitly accounting for the different factors affecting some of the simulation activities. A tunneling case study is used to illustrate the features of the integrated system. The outputs generated from the integrated system are very comparable to those from the original probabilistic simulation model. The integrated system represents a more realistic modeling scenario, since it thoroughly accounts for the different factors affecting the tunnel boring machine (TBM) advance rate. This paper is relevant to researchers because it provides an advance in combining artificial intelligence techniques with simulation models to yield better tools for construction modeling. It is of relevance to practitioners because it provides a useful tool for modeling construction engineering problems.
机译：本文演示了如何将模糊专家系统集成到离散事件模拟模型中，以增强其建模和预测能力，以用于建筑工程应用。提出了一种用于从专家中提取信息以开发模糊专家系统规则的方法。所开发的模糊专家系统集成在离散事件仿真模型中，以通过明确考虑影响某些仿真活动的不同因素来增强其建模能力。隧道案例研究用于说明集成系统的功能。集成系统生成的输出与原始概率仿真模型的输出非常可比。集成系统代表了一个更现实的建模场景，因为它全面考虑了影响隧道掘进机（TBM）前进速度的不同因素。本文与研究人员相关，因为它在将人工智能技术与仿真模型相结合以提供更好的建筑建模工具方面提供了进展。它与从业人员相关，因为它为建模建筑工程问题提供了有用的工具。

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