A fuzzy linguistic hybrid method for selecting a construction project manager

Selecting a construction project manager is one of the most important processes in human resource management in the construction industry. Deciding on the issue of hiring a project manager will be a complex and multivariate issue. The purpose of this study is to provide a hybrid model that optimally solves the issue of ranking and selection of a construction project manager by using decision-making techniques. The proposed model is based on fuzzy linguistic decision criteria, to solve the construction manager selection based on criteria derived from the Delphi method based on previous studies. In this research, two methods of group decision making in ranking and selecting the construction project manager are presented. The Delphi method extracts the criteria, while the fuzzy TOPSIS method selects the optimal candidate. The results show that the use of multi-criteria decision-making methods in the construction project manager selection, increases the efficiency of the process and because it considers various criteria, in the end, efficient managers in accordance with the needs of the project-based organization is a candidate in the recruitment process. One of the features of the proposed approach is to minimize the involvement of subjective judgments in the selection of the construction project manager. This approach can also help decision makers of project-based organizations in identifying and determining the basic criteria before selecting a construction project manager and facilitate the decision to select the best construction project manager based on multiple criteria and options.