Evaluation and selecting the contractor in bidding with incomplete information using MCGDM method

The main concern of construction projects is to select the right contractor in uncertain environment. According to the complex nature of today’s projects, classical approaches are not successful since they have considered only the proposed price and completion time of the project. The selection of a successful contractor depends on multi-criteria such as managerial and financial ability, technical capability, and organizational performance criteria in the presence of a decision-making group. Due to the uncertainties, ambiguities, and lack of information in this multi-criteria decision-making problem, this paper proposes an outranking method based on intuitionistic fuzzy theory. This approach involves reciprocal preference relation (RPR) and credibility function. The RPR is used to complete information, and credibility function is employed to select the best contractor. Choosing appropriate contractor to work in power plant projects is essentially owing to the fact that high-sensitive power plant construction projects are handed over to the contractor through tenders. Finally, a case study for selecting contractor in a power plant project is presented to demonstrate the effectiveness of the proposed method.