How to cite this paper
Yazdani, A., Shariati, S & Yazdani-Chamzini, A. (2014). A risk assessment model based on fuzzy logic for electricity distribution system asset management.Decision Science Letters , 3(3), 343-352.
Refrences
Ataei, M., Khalokakaei, R., & Hossieni, M. (2009). Determination of coal mine mechanization using fuzzy logic. Mining Science and Technology (China), 19(2), 149-154.
Brown, R. E., & Spare, J. H. (2004, October). Asset management, risk, and distribution system planning. In Power Systems Conference and Exposition, 2004. IEEE PES (pp. 1681-1686). IEEE.
Catrinu, M. D., & Nordg?rd, D. E. (2010). Incorporating risk analysis and multi-criteria decision making in electricity distribution system asset management.on Reliability, Risk and Safety: Theory and Applications–Bri?, Guedes Soares & Martorell (eds), Taylor & Francis, London, 393-400.
Cord?n, O. (Ed.). (2001). Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases (Vol. 19). World Scientific.
Firat, M., Turan, M. E., & Yurdusev, M. A. (2009). Comparative analysis of fuzzy inference systems for water consumption time series prediction. Journal of hydrology, 374(3), 235-241.
Fouladgar, M. M., Yazdani-Chamzini, A., & Zavadskas, E. K. (2012). Risk evaluation of tunneling projects. Archives of civil and mechanical engineering,12(1), 1-12.
Heldman, K., Baca, C. M., Jansen, P. M., & Jansen, P. (2007). PMP project management professional exam study guide. John Wiley & Sons.
Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system.Systems, Man and Cybernetics, IEEE Transactions on, 23(3), 665-685.
Jeronymo, D. C., Borges, Y. C. C., & Coelho, L. D. S. (2011). A calibration approach based on Takagi–Sugeno fuzzy inference system for digital electronic compasses. Expert Systems with Applications, 38(11), 13688-13693.
Markowski, A. S., & Mannan, M. S. (2009). Fuzzy logic for piping risk assessment (pfLOPA). Journal of loss prevention in the process industries,22(6), 921-927.
Markowski, A. S., Mannan, M. S., & Bigoszewska, A. (2009). Fuzzy logic for process safety analysis. Journal of Loss Prevention in the Process Industries,22(6), 695-702.
Merna, T., & Al-Thani, F.F. (2005). Corporate Risk Management: An Organisational Perspective, John Wiley and Sons Ltd, London.
Nordg?rd, D. E. (2008, July). Quantitative risk assessment in distribution system maintenance management using bow-tie modeling. In 16th power systems computation conference (PSCC), Glasgow.
Nordg?rd, D. E., Sand, K., & Wangensteen, I. (2009). Risk assessment methods applied to electricity distribution system asset management. Reliability, risk and safety: theory and applications’(CRC Press, 2009, vol. 1), 429-436.
NVE (2007). Regulations covering financial and technical reporting, income caps for network operations and transmission tariffs. Reg. No. 302 of 11 March 1999 –changed as of 7 Dec 2007.
Parker, H.W. (2005). International Tunnelling Association (ITA) and risk. George Fox Seminar.
Sand, K., Gjerde, O., & Nordgard, D.E. (2007). Current risk exposure in the distribution sector. Initial study. Trondheim, SINTEF Energy Research.
Xie, M. (2003). Fundamentals of Robotics: Linking Perception to Action. World Scienti?c Publishing Co Ltd, London.
Yazdani-Chamzini, A., & Yakhchali, S. H. (2012). Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods. Tunnelling and Underground Space Technology, 30, 194-204.
Yen, J., & Langari, R., (1999). Fuzzy Logic: Intelligence, Control and Information, Prentice Hall, New Jersey, USA.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
Brown, R. E., & Spare, J. H. (2004, October). Asset management, risk, and distribution system planning. In Power Systems Conference and Exposition, 2004. IEEE PES (pp. 1681-1686). IEEE.
Catrinu, M. D., & Nordg?rd, D. E. (2010). Incorporating risk analysis and multi-criteria decision making in electricity distribution system asset management.on Reliability, Risk and Safety: Theory and Applications–Bri?, Guedes Soares & Martorell (eds), Taylor & Francis, London, 393-400.
Cord?n, O. (Ed.). (2001). Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases (Vol. 19). World Scientific.
Firat, M., Turan, M. E., & Yurdusev, M. A. (2009). Comparative analysis of fuzzy inference systems for water consumption time series prediction. Journal of hydrology, 374(3), 235-241.
Fouladgar, M. M., Yazdani-Chamzini, A., & Zavadskas, E. K. (2012). Risk evaluation of tunneling projects. Archives of civil and mechanical engineering,12(1), 1-12.
Heldman, K., Baca, C. M., Jansen, P. M., & Jansen, P. (2007). PMP project management professional exam study guide. John Wiley & Sons.
Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system.Systems, Man and Cybernetics, IEEE Transactions on, 23(3), 665-685.
Jeronymo, D. C., Borges, Y. C. C., & Coelho, L. D. S. (2011). A calibration approach based on Takagi–Sugeno fuzzy inference system for digital electronic compasses. Expert Systems with Applications, 38(11), 13688-13693.
Markowski, A. S., & Mannan, M. S. (2009). Fuzzy logic for piping risk assessment (pfLOPA). Journal of loss prevention in the process industries,22(6), 921-927.
Markowski, A. S., Mannan, M. S., & Bigoszewska, A. (2009). Fuzzy logic for process safety analysis. Journal of Loss Prevention in the Process Industries,22(6), 695-702.
Merna, T., & Al-Thani, F.F. (2005). Corporate Risk Management: An Organisational Perspective, John Wiley and Sons Ltd, London.
Nordg?rd, D. E. (2008, July). Quantitative risk assessment in distribution system maintenance management using bow-tie modeling. In 16th power systems computation conference (PSCC), Glasgow.
Nordg?rd, D. E., Sand, K., & Wangensteen, I. (2009). Risk assessment methods applied to electricity distribution system asset management. Reliability, risk and safety: theory and applications’(CRC Press, 2009, vol. 1), 429-436.
NVE (2007). Regulations covering financial and technical reporting, income caps for network operations and transmission tariffs. Reg. No. 302 of 11 March 1999 –changed as of 7 Dec 2007.
Parker, H.W. (2005). International Tunnelling Association (ITA) and risk. George Fox Seminar.
Sand, K., Gjerde, O., & Nordgard, D.E. (2007). Current risk exposure in the distribution sector. Initial study. Trondheim, SINTEF Energy Research.
Xie, M. (2003). Fundamentals of Robotics: Linking Perception to Action. World Scienti?c Publishing Co Ltd, London.
Yazdani-Chamzini, A., & Yakhchali, S. H. (2012). Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods. Tunnelling and Underground Space Technology, 30, 194-204.
Yen, J., & Langari, R., (1999). Fuzzy Logic: Intelligence, Control and Information, Prentice Hall, New Jersey, USA.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.