Paper Info
Title
Large-scale group decision-making (LSGDM) for performance measurement of healthcare construction projects: Ordinal Priority Approach
Abstract
People with various skill sets and backgrounds are usually found working on projects and thus, group decision-making (GDM) is one of the most important functions within any project. However, when projects concern healthcare or other critical services for proletariat or general public (especially during COVID19), the importance of GDM can hardly be overstated. Measuring the performance of healthcare construction projects is a critical activity and should be gauged based on the input from a large number of stakeholders. Such problems are usually recognized as large-scale group decision-making (LSGDM). In the current study, we aim to propose a decision support system for measuring the performance of healthcare construction projects against a large number of experts using ordinal data. The study identifies several key indicators from literature and recorded the observations of a large number of experts about these indicators. After that, the acceptable range of complexity is specified, the Silhouette plot is provided to find the optimal number of clusters, and the ordinal K-means method is employed to cluster the experts’ opinions. Later, the confidence level is measured using a novel Weighted Kendall’s W for the optimal number of the clusters, and the threshold is checked. Finally, the conventional problem is solved using the Group Weighted Ordinal Priority Approach (GWOPA) model in multiple attributes decision making (MADM), and the performance of the projects is determined. The validity of the proposed approach is confirmed through a comparative analysis. Also, a real-world case is solved, and the performance of some healthcare construction projects in China is gauged with a comprehensive sensitivity analysis.
Year
DOI
Venue
2022
10.1007/s10489-022-04094-y
Applied Intelligence
Keywords
DocType
Volume
Ordinal priority approach, Multiple criteria decision analysis, Weighted Kendall’s W, Healthcare construction projects, Large-scale group decision-making, Ordinal K-means
Journal
52
Issue
ISSN
Citations 
12
0924-669X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Amin Mahmoudi100.34
Mehdi Abbasi251.88
Jingfeng Yuan362.74
Lingzhi Li400.34