Developing a Fuzzy Group Decision-Making Approach for Project Manager Selection Considering the Static Complexity of Construction Projects

Due to the particular importance of projects in human life and in organizations, proper project management has been always regarded highly by researchers and practitioners. recent advances in technology and fundamental changes in most scientific areas have affected projects and made their nature and environmental circumstances much more complex compared to the circumstances in the past. fortunately, in recent years, many scholars have recognized the importance of complexity in modern project management and tried to identify its various aspects. furthermore, one of the main factors for a project's success is the assignment of an appropriate project manager. many studies have been done about project managers' competencies and the selection methods of a suitable project manager. in most of these studies, the amount and type of project complexity have been explained as influential factors for determining the competent project manager. however, a specific approach for project manager selection considering the project complexity is not provided yet. hence, in this paper, we try to design and implement a fuzzy group decisionmaking approach to select the best project manager taking into account the project complexity. also, owing to the importance of construction projects in the development of countries' basic infrastructures, we exclusively studied this kind of projects. finally, it should be noted that from the viewpoint of complexity theory, system complexity can exist in two forms: static and dynamic. therefore, considering the breadth of issues related to each of these two complexity areas, just the static complexity of construction projects has been studied here.