CONTRACTOR SELECTION WITH RISK ASSESSMENT BY USING AHP FUZZY METHOD

Contractors play an important role in any construction project. Perhaps the most important decision is the selection of contractor by the employer prior to the implementation of the project. Contractor selection process is associated with increased risk for employers. Therefore, employers always try to reduce the risk. High Impact of contractor on cost, time and quality of project, refers to the role of contractor in the project. In this study, for contractor selection unlike the conventional methods that are based on lowest value suggested for the project implementation, the selection of a contractor is based on the contractor's ability to do the project. The potential contractors using the contractor eligibility bylaw. In this paper, combination of the risk management process and fuzzy logic, have been used to identify and assess the risks of the contractors. After identifying riskthe factors and the evaluated using AHP fuzzy, Itis suggested that after obtaining weight, the fuzzy criteria and competence score for each contractor is obtained. Finally, very few qualified contractors will implement the project. This applied model can be help the employers, till the implementation of the project by the contractor would face little risk.