How to cite this paper
Elshaboury, N. (2021). Prioritizing risk events of a large hydroelectric project using fuzzy analytic hierarchy process.Journal of Project Management, 6(3), 107-120.
Refrences
Abdel-malak, F. F., Issa, U. H., Miky, Y. H., & Osman, E. A. (2017). Applying decision-making techniques to Civil Engi-neering Projects. Beni-Suef University Journal of Basic and Applied Sciences, 6(4), 326-331.
Agarwal, S. S., & Kansal, M. L. (2020). Risk based initial cost assessment while planning a hydropower project. Energy Strategy Reviews, 31, 100517.
Arce, M. E., Saavedra, Á., Míguez, J. L., & Granada, E. (2015). The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review. Renewable and Sustainable Energy Reviews, 47, 924-932.
Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1-13.
Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117.
Belton, V., & Stewart, T.J. (2002). Multiple criteria decision analysis: An integrated approach. London: Kluwer Academ-ic Publishers.
Beltrão, L. M., & Carvalho, M. T. (2019). Prioritizing construction risks using fuzzy AHP in Brazilian public enterpris-es. Journal of Construction Engineering and Management, 145(2), 05018018.
Braga, B.P.F., & Molion, L.C.B. (1999). Impacts of climate change on hydrology of South America. In: Van Dam JC (ed) Impacts of climate change and climate variability on hydrological regimes. Cambridge: Cambridge Press.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Re-search, 95(3), 649-655.
Davoudabadi, R., Mousavi, S. M., & Mohagheghi, V. (2019). A new last aggregation method of multi-attributes group de-cision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncer-tainty. Knowledge and Information Systems, 1-21.
Elshaboury, N., Attia, T., & Marzouk, M. (2020a). Application of evolutionary optimization algorithms for rehabilitation of water distribution networks. Journal of Construction Engineering and Management, 146(7), 04020069.
Elshaboury, N., Attia, T., & Marzouk, M. (2020b). Comparison of several aggregation techniques for deriving analytic network process weights. Water Resources Management, 34(15), 4901-4919.
Elshaboury, N., & Marzouk, M. (2020). Optimizing construction and demolition waste transportation for sustainable con-struction projects. Engineering, Construction and Architectural Management.
Forman, E. H., & Gass, S. I. (2001). The analytic hierarchy process—an exposition. Operations Research, 49(4), 469-486.
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green sup-plier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.
Grošelj, P., Stirn, L. Z., Ayrilmis, N., & Kuzman, M. K. (2015). Comparison of some aggregation techniques using group analytic hierarchy process. Expert Systems with Applications, 42(4), 2198-2204.
Gul, M. (2018). A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Human and Ecological Risk Assessment: An International Journal, 24(7), 1723-1760.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications, a state-of-the-art survey. Berlin: Springer.
Kahraman, C., Onar, S. C., & Oztaysi, B. (2015). Fuzzy multicriteria decision-making: a literature review. International Journal of Computational Intelligence Systems, 8(4), 637-666.
Kalinina, A., Spada, M., Marelli, S., Burgherr, P., & Sudret, B. (2016). Uncertainties in the risk assessment of hydropower dams: State-of the-art and outlook. [Research Report] Zurich: Paul Scherrer Institute.
Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judg-ments. Expert Systems with Applications, 113738.
Maharani, I.S., Astanti, R.D., & Ai, T.J. (2019). Fuzzy analytical hierarchy process with unsymmetrical triangular fuzzy number for supplier selection process. In: 4th International Manufacturing Engineering Conference and 5th Asia Pacif-ic Conference on Manufacturing Systems (iMEC-APCOMS 2019). Putrajaya, Malaysia, pp. 54-59.
Malczewski, J., & Rinner, C. (2015). Dealing with uncertainties. In: Multi-criteria decision analysis in geographic infor-mation science. Berlin: Springer-Verlag, pp. 191-221.
Peddada, K. (2013). Risk assessment and control [Conference issue]. Journal of Governance and Regulation, 2(2), 51-59.
Pedrycz, W., Ekel, P., & Parreiras, R. (2011). Fuzzy multi-criteria decision-making: models, methods and applications. Chichester: John Wiley & Sons.
PMI (2013). A guide to the project management body of knowledge. Pennsylvania: PMI.
Ribas, J. R., Arce, M. E., Sohler, F. A., & Suárez-García, A. (2019a). Data and calculation approach of the fuzzy AHP risk assessment of a large hydroelectric project. Data in Brief, 25, 104294.
Ribas, J. R., Arce, M. E., Sohler, F. A., & Suárez-García, A. (2019b). Multi-criteria risk assessment: case study of a large hydroelectric project. Journal of Cleaner Production, 227, 237-247.
Saaty, T.L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill.
San Cristóbal, J.R., Carral, L., Diaz, E., Fraguela, J.A., & Iglesias, G. (2018). Complexity and project management: A gen-eral overview. Complexity, 1-10.
Sarraf, R., & McGuire, M. P. (2020). Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399.
Sen, P., & Yang, J.B. (1998). Multiple criteria decision support in engineering design. London: Springer.
Serrano-Gomez, L., & Munoz-Hernandez, J. I. (2019). Monte Carlo approach to fuzzy AHP risk analysis in renewable en-ergy construction projects. PloS one, 14(6), e0215943.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423.
Sharma, S., & Kar, S. (2018). Risk management and analysis in hydro-electric projects in India. International Journal of Civil Engineering, 5(3), 1-7.
Sobreiro Filho, J., Fernandes, B.M., & Cunha, T.B. (2016). Water, land, socio-territorial movements, labor, and capital: Territorial disputes and conflictuality in Brazil. In: Ioris A (ed) Agriculture, environment and development - interna-tional perspectives on water, land and politics. Basel: Springer.
Tang, W., Li, Z., & Tu, Y. (2018). Sustainability risk evaluation for large-scale hydropower projects with hybrid uncer-tainty. Sustainability, 10(1), 138.
Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., & Varzgani, N. (2020). An integrated fuzzy AHP-fuzzy MUL-TIMOORA model for supply chain risk-benefit assessment and supplier selection. International Journal of Systems Science: Operations & Logistics, 1-24.
Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy sets and Systems, 11(1-3), 229-241.
Verdecho, M. J., Alarcón-Valero, F., Pérez-Perales, D., Alfaro-Saiz, J. J., & Rodríguez-Rodríguez, R. (2020). A methodol-ogy to select suppliers to increase sustainability within supply chains. Central European Journal of Operations Re-search, 1-21.
Wallenius, J., Dyer, J. S., Fishburn, P. C., Steuer, R. E., Zionts, S., & Deb, K. (2008). Multiple criteria decision making, multiattribute utility theory: Recent accomplishments and what lies ahead. Management Science, 54(7), 1336-1349.
Wang, Y. M., Elhag, T. M., & Hua, Z. (2006). A modified fuzzy logarithmic least squares method for fuzzy analytic hier-archy process. Fuzzy sets and Systems, 157(23), 3055-3071.
Wang, Y. M., Luo, Y., & Hua, Z. (2008). On the extent analysis method for fuzzy AHP and its applications. European Journal of Operational Research, 186(2), 735-747.
Webber, W., Moffat, A., & Zobel, J. (2010). A similarity measure for indefinite rankings. ACM Transactions on Infor-mation Systems (TOIS), 28(4), 1-38.
Yang, T., Yang, D., & Chao, X. (2018). A preference aggregation model and application in AHP group decision making. In: American Institute of Physics (AIP) conference proceedings, Xi'an City, China.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
Zanakis, S.H., Solomon, A., Wishart, N., & Dublish, S. (1998). Multi-attribute decision making: A simulation comparison of selection methods. European Journal of Operation Research 107(3), 507-529.
Agarwal, S. S., & Kansal, M. L. (2020). Risk based initial cost assessment while planning a hydropower project. Energy Strategy Reviews, 31, 100517.
Arce, M. E., Saavedra, Á., Míguez, J. L., & Granada, E. (2015). The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review. Renewable and Sustainable Energy Reviews, 47, 924-932.
Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1-13.
Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117.
Belton, V., & Stewart, T.J. (2002). Multiple criteria decision analysis: An integrated approach. London: Kluwer Academ-ic Publishers.
Beltrão, L. M., & Carvalho, M. T. (2019). Prioritizing construction risks using fuzzy AHP in Brazilian public enterpris-es. Journal of Construction Engineering and Management, 145(2), 05018018.
Braga, B.P.F., & Molion, L.C.B. (1999). Impacts of climate change on hydrology of South America. In: Van Dam JC (ed) Impacts of climate change and climate variability on hydrological regimes. Cambridge: Cambridge Press.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Re-search, 95(3), 649-655.
Davoudabadi, R., Mousavi, S. M., & Mohagheghi, V. (2019). A new last aggregation method of multi-attributes group de-cision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncer-tainty. Knowledge and Information Systems, 1-21.
Elshaboury, N., Attia, T., & Marzouk, M. (2020a). Application of evolutionary optimization algorithms for rehabilitation of water distribution networks. Journal of Construction Engineering and Management, 146(7), 04020069.
Elshaboury, N., Attia, T., & Marzouk, M. (2020b). Comparison of several aggregation techniques for deriving analytic network process weights. Water Resources Management, 34(15), 4901-4919.
Elshaboury, N., & Marzouk, M. (2020). Optimizing construction and demolition waste transportation for sustainable con-struction projects. Engineering, Construction and Architectural Management.
Forman, E. H., & Gass, S. I. (2001). The analytic hierarchy process—an exposition. Operations Research, 49(4), 469-486.
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green sup-plier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.
Grošelj, P., Stirn, L. Z., Ayrilmis, N., & Kuzman, M. K. (2015). Comparison of some aggregation techniques using group analytic hierarchy process. Expert Systems with Applications, 42(4), 2198-2204.
Gul, M. (2018). A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Human and Ecological Risk Assessment: An International Journal, 24(7), 1723-1760.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications, a state-of-the-art survey. Berlin: Springer.
Kahraman, C., Onar, S. C., & Oztaysi, B. (2015). Fuzzy multicriteria decision-making: a literature review. International Journal of Computational Intelligence Systems, 8(4), 637-666.
Kalinina, A., Spada, M., Marelli, S., Burgherr, P., & Sudret, B. (2016). Uncertainties in the risk assessment of hydropower dams: State-of the-art and outlook. [Research Report] Zurich: Paul Scherrer Institute.
Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judg-ments. Expert Systems with Applications, 113738.
Maharani, I.S., Astanti, R.D., & Ai, T.J. (2019). Fuzzy analytical hierarchy process with unsymmetrical triangular fuzzy number for supplier selection process. In: 4th International Manufacturing Engineering Conference and 5th Asia Pacif-ic Conference on Manufacturing Systems (iMEC-APCOMS 2019). Putrajaya, Malaysia, pp. 54-59.
Malczewski, J., & Rinner, C. (2015). Dealing with uncertainties. In: Multi-criteria decision analysis in geographic infor-mation science. Berlin: Springer-Verlag, pp. 191-221.
Peddada, K. (2013). Risk assessment and control [Conference issue]. Journal of Governance and Regulation, 2(2), 51-59.
Pedrycz, W., Ekel, P., & Parreiras, R. (2011). Fuzzy multi-criteria decision-making: models, methods and applications. Chichester: John Wiley & Sons.
PMI (2013). A guide to the project management body of knowledge. Pennsylvania: PMI.
Ribas, J. R., Arce, M. E., Sohler, F. A., & Suárez-García, A. (2019a). Data and calculation approach of the fuzzy AHP risk assessment of a large hydroelectric project. Data in Brief, 25, 104294.
Ribas, J. R., Arce, M. E., Sohler, F. A., & Suárez-García, A. (2019b). Multi-criteria risk assessment: case study of a large hydroelectric project. Journal of Cleaner Production, 227, 237-247.
Saaty, T.L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill.
San Cristóbal, J.R., Carral, L., Diaz, E., Fraguela, J.A., & Iglesias, G. (2018). Complexity and project management: A gen-eral overview. Complexity, 1-10.
Sarraf, R., & McGuire, M. P. (2020). Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399.
Sen, P., & Yang, J.B. (1998). Multiple criteria decision support in engineering design. London: Springer.
Serrano-Gomez, L., & Munoz-Hernandez, J. I. (2019). Monte Carlo approach to fuzzy AHP risk analysis in renewable en-ergy construction projects. PloS one, 14(6), e0215943.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423.
Sharma, S., & Kar, S. (2018). Risk management and analysis in hydro-electric projects in India. International Journal of Civil Engineering, 5(3), 1-7.
Sobreiro Filho, J., Fernandes, B.M., & Cunha, T.B. (2016). Water, land, socio-territorial movements, labor, and capital: Territorial disputes and conflictuality in Brazil. In: Ioris A (ed) Agriculture, environment and development - interna-tional perspectives on water, land and politics. Basel: Springer.
Tang, W., Li, Z., & Tu, Y. (2018). Sustainability risk evaluation for large-scale hydropower projects with hybrid uncer-tainty. Sustainability, 10(1), 138.
Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., & Varzgani, N. (2020). An integrated fuzzy AHP-fuzzy MUL-TIMOORA model for supply chain risk-benefit assessment and supplier selection. International Journal of Systems Science: Operations & Logistics, 1-24.
Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy sets and Systems, 11(1-3), 229-241.
Verdecho, M. J., Alarcón-Valero, F., Pérez-Perales, D., Alfaro-Saiz, J. J., & Rodríguez-Rodríguez, R. (2020). A methodol-ogy to select suppliers to increase sustainability within supply chains. Central European Journal of Operations Re-search, 1-21.
Wallenius, J., Dyer, J. S., Fishburn, P. C., Steuer, R. E., Zionts, S., & Deb, K. (2008). Multiple criteria decision making, multiattribute utility theory: Recent accomplishments and what lies ahead. Management Science, 54(7), 1336-1349.
Wang, Y. M., Elhag, T. M., & Hua, Z. (2006). A modified fuzzy logarithmic least squares method for fuzzy analytic hier-archy process. Fuzzy sets and Systems, 157(23), 3055-3071.
Wang, Y. M., Luo, Y., & Hua, Z. (2008). On the extent analysis method for fuzzy AHP and its applications. European Journal of Operational Research, 186(2), 735-747.
Webber, W., Moffat, A., & Zobel, J. (2010). A similarity measure for indefinite rankings. ACM Transactions on Infor-mation Systems (TOIS), 28(4), 1-38.
Yang, T., Yang, D., & Chao, X. (2018). A preference aggregation model and application in AHP group decision making. In: American Institute of Physics (AIP) conference proceedings, Xi'an City, China.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
Zanakis, S.H., Solomon, A., Wishart, N., & Dublish, S. (1998). Multi-attribute decision making: A simulation comparison of selection methods. European Journal of Operation Research 107(3), 507-529.