A Decision Support Model for Decision Making with the Use of 2-Tuple Linguistic Model in Subcontractor Selection

There are various parties in the execution phase of construction projects but contractors have a direct impact on the execution phase. Due to some challenges such as growing complexity, and the need for specific specialties, contractors’ eager to subcontract project’s tasks to other parties is named subcontractors. Regarding the impact of subcontractors on critical success factors of projects, the first step in their management process is the selection of the best subcontractor. The subcontractor selection is a subject, in which uncertainty and vagueness are dealt with in decision-making. In these situations, linguistic terms can help people in expressing their ideas. This paper applied the 2-tuple linguistics computing to work with linguistic terms and use group decision making to mitigate the deviation of experts’ ideas. For further understanding, a numerical example is presented. Also, a consistency test to investigate the accuracy of the model is offered.