The present condition of the construction industry imposes onerous responsibilities on contractors so they are very eager to subcontract some of their works. Subcontractors who directly handle a major portion of all construction activities have a highlighted role in the building industry, so suitable subcontractor selection has a direct effect on the productivity of construction operations. This paper aims to develop a comprehensive model for subcontractor selection based on the fuzzy preference selection index. The improvement of the proposed model lies in the fact that it has found a way to eliminate the weighting criteria phase in selecting the optimal subcontractor where weighting attributes is a challenging task. The consistency test is presented for investigating the accuracy of model results with the previous scientific work.
Abbasianjahromi, H., Rajaie, H., & Shakeri, E. (2013). A framework for subcontractor selection in the construction industry. Journal of Civil Engineering and Management, 19(2), 158-168. https://doi.org/10.3846/13923730.2012.743922
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