Abstract
Article history: Received March 26, 2012 Received in Revised form May, 2, 2012 Accepted 11 May 2012 Available online May 14 2012 Contractor selection is a critical activity, which plays an important role in the overall success of any construction project. The implementation of fuzzy multiple criteria decision attribute (MCDA) in selecting contractors has the advantage of rendering subjective and implicit decision making more objective and transparent. An additional merit of fuzzy MCDA is the ability to accommodate quantitative and qualitative information. In this paper, an integrated VIKOR–AHP methodology is proposed to make a selection among the alternative contractors in one of Iranian construction industry projects. In the proposed methodology, the weights of the selection criteria are determined by fuzzy pairwise comparison matrices of AHP. © 2012 Growing Science Ltd. All rights reserved.
Highlights
Contractors play important role in building projects, which is why contractor selection constitutes a critical decision for project owners
There have been tremendous models developed for contractor selection decisions, which are based on the idea of decision-making process (Demirtas & Stun, 2008)
The ranking of the alternatives in descending order are A5, A1, A4, A3, and A2, that is based on the crisp Qi index values
Summary
Contractors play important role in building projects, which is why contractor selection constitutes a critical decision for project owners. There have been tremendous models developed for contractor selection decisions, which are based on the idea of decision-making process (Demirtas & Stun, 2008) Among those well-known methods, MCDM is relatively new for selection of contractors (Cheng & Li, 2004). The background for this method, including aggregation, normalization, DM’s preference assessment, and operations on fuzzy numbers are discussed, as a study of rationality that in some way justifies the fuzzy VIKOR method and shows the position of its background in the literature on MCDM.
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