Integrated Model for Selection the Prequalification Criteria of Contractor

Abstract—Selection of a contractor is a key decision made by clients and the process of selection a contractor has become an important issue in construction projects. The opportunistic behavior of contractors in low-bids models has been detected from many researchers in various countries and many studies of low bids have found that for the best economic results and good quality, the lowest bid is not considered sufficient to ensure the desired results. A contractor selection problem is a multi-criteria problem. This paper aims to propose integrated model for determining criteria prequalification to select a contractor. The proposed integrated model contains three components. First, Non-parametric tests will use to deal with categorical variables for ranking alternatives. Second, ANN model will apply to determine the relationship between decision factors by using backpropagation multi-layer perceptron (MLP). Third, AHP model will assign the relative importance weightings of several evaluation factors by using Web-HIPRE software to rank the criteria. We hope that the result from proposed model will be encouraging.

Index Terms—Multi-criteria decision-making, AHP, selection criteria, web-HIPRE software, backpropagation multi-layer perceptron, prequalification contractor, non-parametric tests.

The authors are with the Department of School of Computing, University Utara Malaysia, Malaysia (e-mail: waledalzobiar@hotmail.com, ary321@uum.edu.my).

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Cite: Waled Alzober and Abdul Razak Yaakub, "Integrated Model for Selection the Prequalification Criteria of Contractor," Lecture Notes on Software Engineering vol. 2, no. 3, pp. 233-237, 2014.