Purpose

Project selection is a critical decision for any organization seeking to commission a large-scale construction project. Project selection is a complex multi-criteria decision-making problem with significant uncertainty and high risks. Fuzzy set theory has been used to address various aspects of project uncertainty, but with key practical limitations. This study aims to develop and apply a novel Pythagorean fuzzy sets (PFSs) approach that overcomes these key limitations.

Design/methodology/approach

The study is particular to complex project selection in the context of increasing interest in resilience as a key project selection criterion. Project resilience is proposed and considered in the specific situation of a large-scale construction project selection case study. The case study develops and applies a PFS approach to manage project uncertainty. The case study is presented to demonstrate how PFS is applied to a practical problem of realistic complexity. Working through the case study highlights some of the key benefits of the PFS approach for practicing project managers and decision-makers in general.

Findings

The PFSs approach proposed in this study is shown to be scalable, efficient, generalizable and practical. The results confirm that the inclusion of last aggregation and last defuzzification avoids the potentially critical information loss and relative lack of transparency. Most especially, the developed PFS is able to accommodate and manage domain expert expressions of uncertainty that are realistic and practical.

Originality/value

The main novelty of this study is to address project resilience in the form of multi-criteria evaluation and decision-making under PFS uncertainty. The approach is defined mathematically and presented as a six-step approach to decision-making. The PFS approach is given to allow multiple domain experts to focus more clearly on accurate expressions of their agreement and disagreement. PFS is shown to be an important new direction in practical multi-criteria decision-making methods for the project management practitioner.

中文翻译：

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引入勾股模糊集的多准则评估方法：以弹性建筑项目选择为中心的案例研究

目的

对于任何寻求委托进行大型建设项目的组织而言，项目选择都是至关重要的决定。项目选择是一个复杂的多准则决策问题，具有很大的不确定性和高风险。模糊集理论已用于解决项目不确定性的各个方面，但存在关键的实际限制。这项研究旨在开发和应用克服这些关键局限性的新型勾股模糊集（PFS）方法。

设计/方法/方法

这项研究特别针对复杂项目的选择，因为人们越来越重视将复原力作为关键项目选择标准。在大型建设项目选择案例研究的特定情况下，提出并考虑了项目弹性。该案例研究开发并应用了PFS方法来管理项目不确定性。案例研究的目的是演示如何将PFS应用于具有现实复杂性的实际问题。在案例研究中，重点介绍了PFS方法对于实践项目经理和决策者的主要好处。

发现

在这项研究中提出的PFS方法被证明是可扩展的，有效的，可推广的和实用的。结果证实，包括最后的汇总和最后的模糊化可以避免潜在的关键信息丢失和相对缺乏透明度。最特别的是，已开发的PFS能够适应和管理领域专家表达的现实性和实用性不确定性。

创意/价值

这项研究的主要新颖之处在于，在PFS不确定性的情况下，以多标准评估和决策的形式解决项目的弹性。该方法在数学上进行了定义，并作为决策的六步方法呈现。使用PFS方法可以使多个领域的专家更清楚地关注他们的同意和不同意见的准确表达。对于项目管理从业人员而言，PFS被证明是实用的多准则决策方法中的一个重要的新方向。