Evaluation of Consulting Firms Selection in Construction Projects by Using Fuzzy Logic

Kazaz, Aynur
Birgönül, Mustafa Talat
Kaplan, Hakan
Acıkara, Turgut
Er, Bayram
Construction industry brings different specialization-required disciplines together in a common project. This circumstance complicates finishing a project within a desired time, cost and quality. In recent years, especially non-sector investors have started to employ consulting firms for the design and management of the projects to overcome this problem. Unlike contractor selection process, consulting firm selection process is too complicated for a cost-oriented evaluation. In this sense, different organizations such as International Federation of Consulting Engineers (FIDIC) developed new bidding systems for contractor selection. “Quality and Cost Based Selection” (QCBS), which allows to evaluate quality and cost of the bids concomitantly, is one of the widely used system in construction industry. In this study, it was aimed to determine which criterions are prioritized in QCBS system by using fuzzy logic. In this context, data of 65 bids belonging to 13 different tenders were investigated and a fuzzy model consisting of 3 input and 1 output variable was developed. The results revealed that, in general consulting firms, which are invited to the tenders, ensures the quality criterions and cost criterion determines the selection.


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Citation Formats
A. Kazaz, M. T. Birgönül, H. Kaplan, T. Acıkara, and B. Er, “Evaluation of Consulting Firms Selection in Construction Projects by Using Fuzzy Logic,” presented at the 2nd International Conference on Engineering and Natural Sciences (ICENS 2016) (24 - 28 Mayıs), Saray Bosna, Bosna-Hersek, 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71940.