Risk prioritization and selection of contractor participating in Public-Private Partnership (PPP) infrastructure project using Hybrid Fuzzy AHP and Fuzzy TOPSIS (Case Study: Saveh-Salafchegan Freeway Project)

Abstract

Execution of infrastructure projects is considered as one of the most important indices of the country's economic growth and development. In these projects, the governments' financing always plays a vital role in the development and achieving project goals within the specified time. In order to deal with the problem, governments tend to increase the role of private sector companies in the development of infrastructure projects using public-private partnership (PPP) contracts. On the other hand, the private company should also be aware of the risks involved in the project, as well as the extent of the involvement of each of the risk factors in the overall project risk. To solve this issue, in this paper, the risk factors are first identified and then the proposed hybrid approach based on Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to prioritize the risk factors and finally select the contractor company to implement the Saveh-Salafchegan Freeway Project.