Pricing Construction Risk: Fuzzy Set Application
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Volume 119, Issue 4
Abstract
Contractors may be faced with the problem of deciding the bidding price of a construction project, when the likelihood of the occurrence of risk events and the risk‐associated consequences (monetary loss and gain) are uncertain. If the monetary loss resulting from risk events is not considered or is underestimated due to associated uncertainties, a construction enterprise may suffer a tremendous loss and eventually fail. In this paper, a risk‐pricing method is proposed for analyzing and pricing construction project risk. The method consists of identifying risk elements and quantifying risk‐associated consequences. The uncertainty in the values of the quantified consequences are represented by using a fuzzy set approach and incorporated directly into the bidding price decision process. The proposed risk‐pricing method will assist contractors in the process of estimation under uncertainty. A real construction project is selected to illustrate how the proposed method can be put into practice.
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References
1.
Al‐Bahar, J., and Crandall, K. (1990). “Systematic risk management approach for construction project.” J. Constr. Engrg. and Mgmt., ASCE, 118(2), 533–547.
2.
Anandalingam, G., and Westfall, M. (1988). “Selection of hazardous waste disposal alternative using multi‐attribute utility theory and fuzzy set analysis.” J. Environ. Syst., 18(1), 69–85.
3.
Bogardi, I., and Bardossy, A. (1983). “Regional management of an aquifer for mining under fuzzy environmental objectives.” Water Resour. Res., 19(6), 1394–1402.
4.
Chen, S. H. (1985). “Ranking fuzzy numbers with maximizing set and minimizing set.” Fuzzy Sets Syst., 17(2), 113–129.
5.
Frano, A. (1991). “Pricing hazardous‐waste risk revisited.” J. Mgmt. Engrg., ASCE, 7(4), 428–438.
6.
Klir, G. J., and Folger, T. A. (1988). Fuzzy sets, uncertainty, and information. Prentice Hall, Englewood Cliffs, N.J.
7.
Lee, Y. W., Bogardi, I., and Stansbury, J. (1991). “Fuzzy decision‐making in dredged material management.” J. Environ. Engrg., ASCE, 117(5), 614–630.
8.
Paek, J. H. (1991). “The first step for strategic environmental project management: environmental cleanup project contract.” Conf. on Design and Construction Issues, EPA, Part I, Dallas, Tex., 500–512.
9.
Paek, J. H., Lee, Y. W., and Napier, T. R. (1992). “Selection of design/build proposal using a fuzzy logic system.” J. Constr. Engrg. and Mgmt., ASCE, 118(2), 303–317.
10.
Park, W. (1979). Construction bidding for profit. John Wiley and Sons, New York, N.Y., 168–177.
11.
Zadeh, L. A. (1965). “Fuzzy sets.” Information and Control, 8(3), 338–353.
12.
Zimmermann, H. J. (1987). Fuzzy sets, decision making, and expert system. Kluwer Academic Publishers, London, England.
Information & Authors
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Published In
Journal of Construction Engineering and Management
Volume 119 • Issue 4 • December 1993
Pages: 743 - 756
Copyright
Copyright © 1993 American Society of Civil Engineers.
History
Received: Sep 21, 1992
Published online: Dec 1, 1993
Published in print: Dec 1993
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