Clustering and ranking contractors using data mining algorithm and VIKOR (Case study: Mehr housing Hashtgerd New Town)
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Abstract: (385 Views) |
The construction management of Mehr Housing projects, which has an increasing volume and is required to high speed, can be appropriately possible just through receiving and processing the reliable data and information on the right time. Long-term programs, which have been made by managers and can determine the whole levels of Mehr Housing projects, their executive process and the people’s operation who are involved in Mehr Housing project, are entirely on the basis of existing data mining. Hashtgerd New Town Development Corporation is one of the most fundamental administrators of Mehr Housing project throughout the country and therefore, an efficient construction management is essential to execute the projects in this town. Considering the fact that more than 80 projects of Mehr Housing project are being executed in Hashtgerd New Town and regarding that the memoranda of understanding have been contracted and operated in a short time, assembling the appropriate information in the field of contractors and projects is fundamental to apply the long-term policies and coherent methods. To cluster the contractors of Mehr Housing projects in this research, firstly the required data has been collected with regard to these contractors and then they have been clustered through cluster analysis method. Correctness of achieved findings has been certified through validation methods. Finally, contractors have been ranked in every cluster by VIKOR as a multiple criteria decision-making method. |
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Keywords: Mehr Housing, Clustering, Ranking, Hashtgerd New Town, Contractor Evaluation |
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Full-Text [PDF 877 kb]
(491 Downloads)
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Type of Study: Research |
Subject:
Special Accepted: 2016/09/28 | Published: 2016/09/28
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