| contributor author | Xiao-Hua Jin | |
| date accessioned | 2017-05-08T21:40:18Z | |
| date available | 2017-05-08T21:40:18Z | |
| date copyright | November 2010 | |
| date issued | 2010 | |
| identifier other | %28asce%29cp%2E1943-5487%2E0000065.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59024 | |
| description 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 | |
| publisher | American Society of Civil Engineers | |
| title | Neurofuzzy Decision Support System for Efficient Risk Allocation in Public-Private Partnership Infrastructure Projects | |
| type | Journal Paper | |
| journal volume | 24 | |
| journal issue | 6 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000058 | |
| tree | Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 006 | |
| contenttype | Fulltext | |
