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A NEW VIEWPOINT OF S-CURVE REGRESSION MODEL AND ITS APPLICATION TO CONSTRUCTION MANAGEMENT

机译:S曲线回归模型的新观点及其在施工管理中的应用

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The least square method is in generally used for curve fitting problems. We here propose a fuzzy S-curve regression model to deal with the case in which the observed data are given by fuzzy numbers. The fuzzy regression curve, obtained for project control and predicting the progress of large-scale or small-scale engineering, is smoothly connected by a Takagi-Sugeno (T-S) fuzzy model. This paper also proposes the concept that the upper bound and lower bound are given instead of the confidence interval when the observed data are not obtained exactly. Based on the project cash flow and progress payment records of an example project taken from the Department of Rapid Transit Systems, Taipei City Government, this model is demonstrated and tentative conclusions concerning the model are given. The S-curve equation developed here could be used in a variety of applications related to project control for the management of working capital for construction firms.
机译:最小二乘法通常用于曲线拟合问题。在这里,我们提出一个模糊S曲线回归模型来处理观测数据由模糊数给出的情况。通过Takagi-Sugeno(T-S)模糊模型可以平滑地连接用于项目控制和预测大型或小型工程进度的模糊回归曲线。本文还提出了一个概念,即当不能准确获得观测数据时,给出上限和下限而不是置信区间。根据台北市政府捷运系统部的示例项目的项目现金流量和进度付款记录,对该模型进行了演示,并给出了有关该模型的初步结论。此处开发的S曲线方程式可用于与项目控制有关的各种应用中,以管理建筑公司的营运资金。

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