Neurofuzzy decision support system for efficient risk allocation in public-private partnership infrastructure projects
Jin, Xiao-Hua 2010, Neurofuzzy decision support system for efficient risk allocation in public-private partnership infrastructure projects, Journal of computing in civil engineering, vol. 24, no. 6, November - December, pp. 525-538.
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Title
Neurofuzzy decision support system for efficient risk allocation in public-private partnership infrastructure projects
The performance of public-private partnership (PPP) infrastructure projects is largely contingent on whether the adopted risk allocation (RA) strategy is efficient. Theoretical frameworks drawing on the transaction cost economics and the resource-based view of organizational capability are able to explain the underlying mechanism but unable to accurately forecast efficient RA strategies. In this paper, a neurofuzzy decision support system (NFDSS) was developed to assist in the RA decision-making process in PPP projects. By combining fuzzy and neural network techniques, a synthesized fuzzy inference system was established and taken as the core component of the NFDSS. Evaluation results show that the NFDSS can forecast efficient RA strategies for PPP infrastructure projects at a highly accurate and effective level. A real PPP infrastructure project is used to demonstrate the NFDSS and its practical significance.
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Online Publication Date 10 April 2010
Language
eng
Field of Research
120201 Building Construction Management and Project Planning