[1]
Wei Gang, He Jing. The Study of the uncertain factors in network planning[J]. Journal of Shanghai University of Electric Power, 2003, 19(4): 33-37.
Google Scholar
[2]
Cunbin Li, Anli Sun. The research of economic evaluation project risk based on Monte Carlo simulation. IEEE conference on Wireless Communications, Network and Mobil Computing, WiCOM, 2008: 1-5.
DOI: 10.1109/wicom.2008.2442
Google Scholar
[3]
Chun-Lien Su, Jen-Ho Teng. Economic Evaluation of a Distribution Automation project. IEEE transaction on Industry Applications. 2007 43(6): 1417-1425.
DOI: 10.1109/tia.2007.908192
Google Scholar
[4]
Song Xiaohua, Mou Lan. The research of economic benefits post-evaluationon the grid construction projects based on the Fuzzy AHP method. IEEE conference on E-Project E-Service and E-Entertainment. 2010: 1-4.
DOI: 10.1109/iceee.2010.5661425
Google Scholar
[5]
Wang Jian-Hua, Ji Ya-feng. The application fof coal mining project decision-making based on abandon option. IEEE conference on Managenment Science and Engineering. 2012: 1755-1760.
DOI: 10.1109/icmse.2012.6414409
Google Scholar
[6]
Zhao Qiaozhi. Astudy of power project investment decision making based on AHP and grey relevancy degree method. IEEE conference on Intellligent Systems and Applications. 2010: 1-4.
DOI: 10.1109/iwisa.2010.5473487
Google Scholar
[7]
Alefeld G, Mayer G. Interval Analysis: Theory and Applications [J]. Journal of Computational and Applied Mathmatics, 2000, 121(1-2): 421-464.
DOI: 10.1016/s0377-0427(00)00342-3
Google Scholar
[8]
Da Qingli, Liu Xinwang. Interval number linear programming and its satisfactory solution [J]. Theory and Practice on System Engineering, 1999, 19(4): 3-7.
Google Scholar
[9]
Luo Fengzhang, Xiao Jun, Wang Chenshang, Zhang Yongwu, Guo Tiejun. An interval economic evaluation method for projects system planning considering electricity price fluctuation. [J] Power System Technology, 2005, 29(8), 20-24.
Google Scholar
[10]
M. Sheehan, C. Brace, S. Williams, M. Sullivan. Optimal allocation of resources to distribution investments using the analytic hierarchy process to balance the impacts of investments on safety, customer interruption costs, levelized annual revenue requirement, contribution to margin and other considerations. IEEE Power Engineering Society Summer Meeting, Seattle, USA, 2000: 1311-1316.
DOI: 10.1109/pess.2000.868712
Google Scholar