Project Procurement Method Decision-Making With Spearman Rank Correlation Coefficient Under Uncertainty Circumstances

Abstract

A project procurement method (PPM) defines the roles and responsibilities of the participates involved in the construction project. Selecting a suitable PPM is one of the critical issues to achieve the success of a construction project. The selection of PPM is a typical multi-criteria decision-making problem under uncertainty. Moreover, interval-valued intuitionistic fuzzy set (IVIFS) is a useful tool for depicting uncertainty of the multi-criteria decision-making (MCDM) problems. In this paper, the authors consider the PPM selection under IVIFS circumstance. Firstly, they introduce the concept of Spearman rank correlation coefficient (SRCC) between two IVIFSs and then calculate the SRCC between the ideal alternative and each alternative. The ideal option of PPM is determined according to the computed value of SRCC. Overall, the proposed method can avoid the calculation of the criteria weights, and the selection process is simple and straightforward. Finally, a real-world infrastructure project PPM selection has been illustrated the applicability and effectiveness of this methodology.