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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
Author(s) Jin, Xiao-Hua
Journal name Journal of computing in civil engineering
Volume number 24
Issue number 6
Season November - December
Start page 525
End page 538
Total pages 14
Publisher American Society of Civil Engineers
Place of publication New York, N.Y.
Publication date 2010
ISSN 0887-3801
1943-5487
Keyword(s) risk management
decision support system
neurofuzzy
transaction cost economics
organizational capability
infrastructure
public-private partnership
Summary 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.
Notes Online Publication Date 10 April 2010
Language eng
Field of Research 120201 Building Construction Management and Project Planning
Socio Economic Objective 910402 Management
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Persistent URL http://hdl.handle.net/10536/DRO/DU:30024061

Document type: Journal Article
Collection: School of Architecture and Built Environment
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