American Society of Civil Engineers

Neurofuzzy Decision Support System for Efficient Risk Allocation in Public-Private Partnership Infrastructure Projects

by Xiao-Hua Jin, (Lecturer, School of Architecture and Building, Faculty of Science and Technology, Deakin Univ., Geelong, Victoria 3217, Australia. E-mail:

Journal of Computing in Civil Engineering, Vol. 24, No. 6, November/December 2010, pp. 525-538, (doi:

     Access full text
     Purchase Subscription
     Permissions for Reuse  

Document type: Journal Paper
Abstract: 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.

ASCE Subject Headings:
Risk management
Decision support systems
Fuzzy sets
Economic factors

Author Keywords:
Risk allocation
Decision support system
Transaction cost economics
Organizational capability
Public-private partnership