Abstract

Project management is a process that is involved with making important decisions under uncertainty. In project management often the existing data is limited and vague. Sustainable project selection has a multi-criteria evaluation nature which calls for attending to various often conflicting factors under vagueness. To deal with sustainable project selection several important factors should be properly considered. In this paper, in order to provide a new multi-criteria project selection method, a novel last aggregation method is presented. This method has several main novelties. First, to address uncertainty interval type 2 fuzzy sets (IT2FSs) are used. Second, the importance of criteria is investigated by using IT2F entropy. Third, a novel index for decision making is presented that has the merits of ratio system in MOORA and COPRAS, named MORAS. Fourth, the weights of decision makers are computed according to the obtained judgments and the weights are employed to aggregate the results. Fifth, the defuzzification is carried out in the last step of the process by means of a new IT2F ranking method. To present the applicability of the method, it is used in an existing case study in the literature and the outcomes are presented.

Highlights

  • Construction and infrastructure projects to reach their predetermined objectives over their life cycle often face many difficulties

  • In order to address the importance of evaluation criteria, a method based on the concept of entropy was applied

  • To prevent loss of the gathered judgments, the introduced method utilized the last aggregation stance which applied the weight of decision maker (DM) in its aggregation step

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Summary

Introduction

Construction and infrastructure projects to reach their predetermined objectives over their life cycle often face many difficulties. Complexities and specific nature of construction projects should be properly managed (Taillandier et al, 2015). Construction and infrastructure projects are exposed to more risks. Such risks should be addressed in different phases of the project life cycle. In project selection, which is categorized as a strategic decision-making process, the decision maker (DM) is required to find a number of the most proper projects while considering the outcome of projects (Mavrotas, Diakoulaki, & Kourentzis, 2008; Pires, Ferreira, Jalali, & Chang, 2018). There are several factors that complicate this process. One of the factors that improves the complexity of project evaluation methods is uncertainty (Mohagheghi, Mousavi, & Vahdani, 2016)

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