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Fuzzy procurement selection model for construction projects


  • Caroline T. W. Chan


Recent developments in procurement selection systems are reviewed and this reveals contradiction and conflict with previous work. A mathematical rank model called fuzzy procurement selection model (FPSM) is proposed to adapt to local circumstances. FPSM can be modified according to local conditions or requirements and the modification methods are well documented in previous work. The proposed model overcomes the continual arguments on establishing a set of universal criteria on procurement selection systems and provides a useful tool to cope with different project/client's requirements.

Suggested Citation

  • Caroline T. W. Chan, 2007. "Fuzzy procurement selection model for construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 25(6), pages 611-618.
  • Handle: RePEc:taf:conmgt:v:25:y:2007:i:6:p:611-618 DOI: 10.1080/01446190701209933

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    References listed on IDEAS

    1. Xing Wu & Zhihui Zhang, 2005. "Input-output analysis of the Chinese construction sector," Construction Management and Economics, Taylor & Francis Journals, vol. 23(9), pages 905-912.
    2. C. Y. Yiu & X. H. Lu & M. Y. Leung & W. X. Jin, 2004. "A longitudinal analysis on the relationship between construction output and GDP in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 22(4), pages 339-345.
    3. Wolff, Edward N, 1991. "Capital Formation and Productivity Convergence over the Long Term," American Economic Review, American Economic Association, vol. 81(3), pages 565-579, June.
    4. Polenske, Karen R & Sivitanides, Petros, 1990. "Linkages in the Construction Sector," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 24(2), pages 147-161.
    5. Alex R. Hoen, 2002. "Identifying Linkages with a Cluster-based Methodology," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 131-146, June.
    6. Wolff, Edward N., 1994. "Productivity measurement within an input-output framework," Regional Science and Urban Economics, Elsevier, vol. 24(1), pages 75-92, February.
    7. Junning Cai & Pingsun Leung, 2004. "Linkage Measures: a Revisit and a Suggested Alternative," Economic Systems Research, Taylor & Francis Journals, vol. 16(1), pages 63-83.
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    Procurement; selection criteria; fuzzy logic;


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