







Vol.1 , No. 1, Publication Date: Mar. 10, 2018, Page: 20-26
[1] | Shang Kejian, School of Business Administration, Liaoning Technical University, Huludao, China. |
[2] | Feng Dongmei, School of Business Administration, Liaoning Technical University, Huludao, China. |
[3] | Li Naiwen, School of Business Administration, Liaoning Technical University, Huludao, China. |
[4] | Jia Chong, School of Business Administration, Liaoning Technical University, Huludao, China. |
The PPP mode is widely used in many infrastructure projects in China. However, due to the limited popularization of PPP mode in China, there are few researches on the contract risk evaluation, PPP contract risk evaluation system is lacked, evaluation value has the problem of information loss, and it is difficult to satisfy the independence hypothesis between the indexes of the evaluation model. In this paper, contract risk evaluation index system is established for PPP project. Then, based on the latest research results of fuzzy mathematics and multi-attribute decision-making model, contract risk evaluation method is proposed for PPP project in CMLN, so that information loss and the issue of independence hypothesis between indexes can be solved by rational use of intuitionistic fuzzy numbers and fuzzy measures. Finally, the applicability of index system and method is verified by applying the evaluation index system and evaluation method proposed in this paper to CMLN PPP project in Shanxi Province
Keywords
PPP Project, Risk Evaluation, Fuzzy Mathematics, Gas Pipeline Network
Reference
[01] | Lin C. The risk management under conditions of contract for EPC in overseas projects [J]. 2016 International Conference on Logistics, Informatics and Service Sciences (LISS). 2016: 1-5. |
[02] | Liu D, Lv L. Evaluation of risk and benefit in energy management contract project [J]. Power Demand Side Management. 2009 11 (01): 20-23. |
[03] | Liu H, Yang JF, Zhang ZY. The Risk Evaluation Model of Construction Project Contract Based on BP Neural Network [J]. Applied Mechanics & Materials. 2013, 357-360: 2304-2307. |
[04] | Yan Y, Liu Y. Analysis and prevention of construction contract risk management based on the contractors' interests [J]. 2017 International Conference on Logistics, Informatics and Service Sciences (LISS), 2017: 1-3. |
[05] | Guo LF. The comprehensive analysis of hospital EEB risk based AHP. [J]. Electronic Design Engineering, 2016, 24 (21): 14-17. |
[06] | Zhang HR, Lu XU, Qiong WU. Research on Risk Evaluation of Long Distance Oil and Gas Transportation Pipelines Based on AHP and TOPSIS [J]. Computer Knowledge & Technology. 2016, 12 (21): 249-252. |
[07] | Guo Z, Zhang Q. Project Risk Evaluation Based on Triangle Fuzzy Number and TOPSIS [J]. 2008 International Conference on Business Intelligence & Financial Engineering. 2008: 1845-1848. |
[08] | . Jiang F, Cao K, Yang X. Risk Evaluation Method of Ocean Platform Based on Triangular Fuzzy Number and AHP [J]. Journal of Gansu Sciences. 2016, 28 (03), 67-71. |
[09] | Esposito S, Iervolino I, D'Onofrio A, Santo A, Cavalieri F, Franchin P. Simulation-Based Seismic Risk Assessment of Gas Distribution Networks [J]. Computer-aided Civil & Infrastructure Engineering. 2015; 30 (7): 508-23. |
[10] | Han ZY, Weng WG. Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network [J]. Journal of Hazardous Materials. 2011, 189 (1): 509-518. |
[11] | Jing-Chun YU. Comparison of Four Risk Assessment Models for Town Gas Pipeline Network [J]. Gas & Heat. 2007, 27 (11): 44-49. |
[12] | Han YP, Jiang GM. Sensitivity Analysis and Its Improvement in the Application of PPP Projects' Risk Evaluation [J]. Water Conservancy Science & Technology & Economy. 2009, 15 (1): 1-3. |
[13] | Xu Y, Lu Y, Chan APC, Skibniewski MJ, Yeung JFY. A computerized risk evaluation model for public-private partnership (PPP) projects and its application. International Journal of Strategic Property Management. 2012; 16 (3): 277-297. |
[14] | Xu Y, Yeung JFY, Chan APC, Chan DWM, Wang SQ, Ke Y. Developing a risk assessment model for PPP projects in China — A fuzzy synthetic evaluation approach. Automation in Construction. 2010; 19 (7): 929-943. |
[15] | Atanassov K, Gargov G. Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems. 1989, 31 (3): 343-349. |
[16] | Grabisch M, Sugeno M, Murofushi T. Fuzzy measures and integrals: theory and applications [M]: Springer-Verlag New York, Inc., 2000. |
[17] | Liginlal D, Ow TT. Modeling attitude to risk in human decision processes: An application of fuzzy measures [J]. Fuzzy Sets and Systems. 2006; 157 (23): 3040-3054. |
[18] | Sugeno M, Gupta MM. Fuzzy measures and fuzzy integral a survey [J]. Fuzzy automata and decision processes. 1977; 78 (33): 89-102. |