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首页> 外文期刊>Advances in civil engineering >A New Approach to Studying Net Present Value and the Internal Rate of Return of Engineering Projects under Uncertainty with Three-Dimensional Graphs
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A New Approach to Studying Net Present Value and the Internal Rate of Return of Engineering Projects under Uncertainty with Three-Dimensional Graphs

机译:用三维图研究不确定性下工程项目净现值和内部收益率的新方法

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Cost-benefit analysis (CBA) is very useful when appraising engineering projects and examining their long-term financial and social sustainability. However, the inherent uncertainty in the estimation of completion time, final costs, and the realization of benefits often act as an impediment to its application. Since the emergence of fuzzy set theory, there have been significant developments in uncertainty modelling in project evaluation and investment analysis, primarily in the area of formulating a fuzzy version of CBA. In this context, in studying the key indicators of CBA, whereas fuzzy net present value (fNPV) has been investigated quite extensively, there are significant issues in the calculation of fuzzy internal rate of return (fIRR) that have not been addressed. Hence, this paper presents a new conceptual model for studying and calculating fNPV and fIRR. Three-dimensional fNPV and fIRR graphs are introduced as a means of visualizing uncertainty. A new approach is presented for the precise calculation of fIRR. To facilitate practical application, a computerization process is also presented. Additionally, the proposed methodology is exemplified in a sample motorway project whereby its advantages over traditional stochastic uncertainty modelling techniques such as Monte Carlo analysis are discussed. Overall, it is concluded that the new approach is very promising for modelling uncertainty during project evaluation for both project managers and project stakeholders.
机译:成本效益分析(CBA)在评估工程项目并检查其长期财务和社会可持续性时非常有用。但是,完成时间,最终成本和收益实现的估算中固有的不确定性通常会阻碍其应用。自模糊集理论出现以来,项目评估和投资分析中的不确定性建模取得了重大进展,主要是在制定CBA的模糊版本方面。在这种情况下,在研究CBA的关键指标时,尽管对模糊净现值(fNPV)进行了相当广泛的研究,但在模糊内部收益率(fIRR)的计算中仍存在尚未解决的重大问题。因此,本文提出了一种新的概念模型,用于研究和计算fNPV和fIRR。引入了三维fNPV和fIRR图,以可视化不确定性。提出了一种精确计算fIRR的新方法。为了促进实际应用,还提出了一种计算机化过程。另外,在一个示例高速公路项目中举例说明了所提出的方法,从而讨论了其相对于传统随机不确定性建模技术(例如蒙特卡洛分析)的优势。总的来说,可以得出这样的结论:对于项目经理和项目干系人,在项目评估过程中的不确定性建模方面,新方法很有希望。

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