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Du, J and El-Gafy, M (2011) Feasibility Analytical Mapping (FAM) for the Bidding Decision: A Graphic Bidding Decision Making Model Based on Multidimensional Scaling and Discriminant Analysis. International Journal of Construction Education and Research, 7(03), 198–209.

  • Type: Journal Article
  • Keywords: bidding decision; discriminant analysis; information visualization; multidimensional scaling; supervised learning
  • ISBN/ISSN: 1557-8771
  • URL: https://doi.org/10.1080/15578771.2011.578504
  • Abstract:
    This article examines the shortage of current bidding models and proposes a model called "Feasibility Analytical Mapping (FAM)£ for the bidding decision. FAM provides decision makers with a graph-based analysis tool of potential bids. By using information visualization and supervised learning techniques, high dimensional historical bidding data can be transformed into a graphic representation called "Feasible Business Domain Map (FBDM)". Risk for potential bids can be judged using FBDM. FAM presents the analysis results in a visualized form that is objective, understandable and convincible. A hypothetical case is illustrated at the end of this paper to demonstrate the superiority of the proposed model.

Ku, K and Taiebat, M (2011) BIM Experiences and Expectations: The Constructors' Perspective. International Journal of Construction Education and Research, 7(03), 175–97.

Slattery, D K and Sumner, M R (2011) Leadership Characteristics of Rising Stars in Construction Project Management. International Journal of Construction Education and Research, 7(03), 159–74.

Smith, J P, Miller, K, Christofferson, J and Hutchings, M (2011) Best Practices for Dealing with Price Volatility in Utah's Residential Construction Market. International Journal of Construction Education and Research, 7(03), 210–25.

Stone, M L, Johnson, P W and Leopard, T A (2011) Using Design-Based Change Orders as a Lessons Learned Metric in University Dormitory Construction. International Journal of Construction Education and Research, 7(03), 226–40.