How to cite this paper
Sadi-Nezhad, S. (2017). A state-of-art survey on project selection using MCDM techniques.Journal of Project Management, 2(1), 1-10.
Refrences
Abbasianjahromi, H., & Rajaie, H. (2012). Developing a project portfolio selection model for contrac-tor firms considering the risk factor. Journal of Civil Engineering and Management, 18(6), 879-889.
Adhikary, P., Roy, P. K., & Mazumdar, A. (2015). Optimal renewable energy project selection: A multi-criteria optimization technique approach. Global Journal of Pure and Applied Mathemat-ics, 11(5), 3319-3329.
Alzober, W., & Yaakub, A. R. (2014). Integrated model for MCDM: Selection contractor in Malaysi-an construction industry. In Applied Mechanics and Materials (Vol. 548, pp. 1587-1595). Trans Tech Publications.
Ahmad, J., Javed, M. K., Nazam, M., & Nazim, M. (2015). Multiple criteria group decision making problem based on VIKOR method under Hesitant fuzzy environment. In Proceedings of the Ninth International Conference on Management Science and Engineering Management (pp. 1519-1528). Springer Berlin Heidelberg.
Bakshi, T., Sanyal, S. K., Sarkar, B., & Sinharay, A. (2012, March). A project Selection Framework of DSS by Dempster-shafer Theory under Fuzziness. In Recent Advances in Information Technology (RAIT), 2012 1st International Conference on (pp. 374-378). IEEE.
Bai, H., & Zhan, Z. (2011, October). An IT Project selection method based on fuzzy analytic network process. In System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on (Vol. 2, pp. 275-279). IEEE.
Bakshi, T., Sinharay, A., Sarkar, B., & Sanyal, S. (2011). MCDM based project selection by F-AHP & VIKOR. Swarm, Evolutionary, and Memetic Computing, 381-388.
Baysal, M. E., Kaya, İ., Kahraman, C., Sarucan, A., & Engin, O. (2015). A two phased fuzzy meth-odology for selection among municipal projects. Technological and Economic Development of Economy, 21(3), 405-422.
Charnes A, Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Chang, K. L. (2013). Combined MCDM approaches for century-old Taiwanese food firm new prod-uct development project selection. British Food Journal, 115(8), 1197-1210.
Chang, K. L. (2015). A hybrid program projects selection model for nonprofit TV sta-tions. Mathematical Problems in Engineering, 2015.
Chen, C. T. (2002). A decision model for information system project selection. In Engineering Man-agement Conference, 2002. IEMC'02. 2002 IEEE International (Vol. 2, pp. 585-589). IEEE.
Chen, C. T., & Cheng, H. L. (2009). A comprehensive model for selecting information system project under fuzzy environment. International Journal of Project Management, 27(4), 389-399.
Chen, V. Y. C., & Tzeng, G. H. (2010, July). The best project selection for the environment planning of coastal wetlands region based on a hybrid MCDM model. In Computers and Industrial Engi-neering (CIE), 2010 40th International Conference on (pp. 1-6). IEEE.
Daneshvar Rouyendegh, B., & Erol, S. (2012). Selecting the best project using the fuzzy ELECTRE method. Mathematical Problems in Engineering, 2012.
Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1-24.
Dodangeh, J., & Mojahed, M. (2009, April). Best project selection by using of Group TOPSIS meth-od. In Computer Science and Information Technology-Spring Conference, 2009. IACSITSC'09. In-ternational Association of (pp. 50-53). IEEE.
Ebrahimnejad, S., Mousavi, S. M., Tavakkoli-Moghaddam, R., Hashemi, H., & Vahdani, B. (2012). A novel two-phase group decision making approach for construction project selection in a fuzzy envi-ronment. Applied Mathematical Modelling, 36(9), 4197-4217.
Gao, P., Feng, J., & Yang, L. (2008, October). Fuzzy TOPSIS algorithm for multiple criteria decision making with an application in information systems project selection. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on (pp. 1-4). IEEE.
Lee, J. W., & Kim, S. H. (2000). Using analytic network process and goal programming for interde-pendent information system project selection. Computers & Operations Research, 27(4), 367-382.
Lee, J. W., & Kim, S. H. (2001). An integrated approach for interdependent information system pro-ject selection. International Journal of Project Management, 19(2), 111-118.
Liang, X., Sun, X., Shu, G., Sun, K., Wang, X., & Wang, X. (2013). Using the analytic network pro-cess (ANP) to determine method of waste energy recovery from engine. Energy Conversion and Management, 66, 304-311.
Li, C. H., Sun, Y. H., & Du, Y. W. (2008, October). A new MCDM approach based on cross-impact analysis for ranking dependent alternatives. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on (pp. 1-4). IEEE.
Lu, I. J., Lin, S. J., & Lewis, C. (2008). Grey relation analysis of motor vehicular energy consumption in Taiwan. Energy Policy, 36(7), 2556-2561.
Hashemkhani Zolfani, S., Salimi, J., Maknoon, R., & Kildiene, S. (2015). Technology foresight about R&D projects selection; Application of SWARA method at the policy making level. Engineering Economics, 26(5), 571-580.
Hou, G. (2011, May). IT/IS project selection: A grey multi-criteria decision model approach. In E-Business and E-Government (ICEE), 2011 International Conference on (pp. 1-4). IEEE.
Huang, W. C., Teng, J. Y., & Lin, M. C. (2008, October). Application of fuzzy multiple criteria deci-sion making in the selection of infrastructure projects. In Fuzzy Systems and Knowledge Discovery, 2008. FSKD'08. Fifth International Conference on (Vol. 5, pp. 159-163). IEEE.
Hwang, C.L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.
Jafarian, A., Nikabadi, M. S., & Amiri, M. (2014). Framework for prioritizing and allocating six sigma projects using fuzzy TOPSIS and fuzzy expert system. Scientia Iranica. Transaction E, Industrial Engineering, 21(6), 2281.
Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard: translating strategy into action. Har-vard Business Press.
Karaveg, C., Thawesaengskulthai, N., & Chandrachai, A. (2015). A combined technique using SEM and TOPSIS for the commercialization capability of R & D project evaluation. Decision Science Letters, 4(3), 379-396.
Mojahed, M., & Dodangeh, J. (2009, August). Using engineering economy techniques with group topsis method for best project selection. In Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on (pp. 232-234). IEEE.
Morán, J., Granada, E., Míguez, J. L., & Porteiro, J. (2006). Use of grey relational analysis to assess and optimize small biomass boilers. Fuel Processing Technology, 87(2), 123-127.
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
Öztaysi, B. (2015). A group decision making approach using interval type-2 fuzzy AHP for enterprise information systems project selection. Multiple-Valued Logic and Soft Computing, 24(5-6), 475-500.
Mohamed, F., & Ahmed, A. N. (2012). Analysis of project selection by using SDV-MOORA ap-proach. Life Science Journal, 9(2s).
Mohanty, R. P. (1992). Project selection by a multiple-criteria decision-making method: an example from a developing country. International Journal of Project Management, 10(1), 31-38.
Patel, J. D., & Maniya, K. D. (2015). Application of AHP/MOORA method to select wire cut electri-cal discharge machining process parameter to cut EN31 alloys steel with Brasswire. Materials To-day: Proceedings, 2(4), 2496-2503.
Perçin, S., & Kahraman, C. (2010). An integrated fuzzy multi-criteria decision-making approach for Six Sigma project. International Journal of Computational Intelligence Systems, 3(5), 610-621.
Pirdashti, M., Ghadi, A., Mohammadi, M., & Shojatalab, G. (2009). Multi-criteria decision-making se-lection model with application to chemical engineering management decisions. World Academy of Science, Engineering and Technology, 49, 54-59.
Ramani, T. L., Quadrifoglio, L., & Zietsman, J. (2010). Accounting for nonlinearity in the MCDM approach for a transportation planning application. IEEE Transactions on Engineering Manage-ment, 57(4), 702-710.
Ravi, V., Shankar, R., & Tiwari, M. K. (2008). Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach. International Journal of Production Re-search, 46(17), 4849-4870.
Saaty, T. L. (1986). Axiomatic foundation of the analytic hierarchy process. Management sci-ence, 32(7), 841-855.
Saaty, T. L. (1996). The analytic network process. Pittsburgh: RWS Publications.
Salehi, K. (2015). A hybrid fuzzy MCDM approach for project selection problem. Decision Science Letters, 4(1), 109-116.
Teng, J. Y., Huang, W. C., & Lin, M. C. (2010). Systematic budget allocation for transportation con-struction projects: a case in Taiwan. Transportation, 37(2), 331-361.
Thipparat, T., & Thaseepetch, T. (2013). An integrated VIKOR and fuzzy AHP method for assessing a sustainable research project. World Applied Sciences Journal, 22(12), 1729-1738.
Vinodh, S., & Swarnakar, V. (2015). Lean Six Sigma project selection using hybrid approach based on fuzzy DEMATEL–ANP–TOPSIS. International Journal of Lean Six Sigma, 6(4), 313-338.
Wang, W. M., Lee, A. H., Peng, L. P., & Wu, Z. L. (2013). An integrated decision making model for district revitalization and regeneration project selection. Decision Support Systems, 54(2), 1092-1103.
Wang, F. K., Hsu, C. H., & Tzeng, G. H. (2014). Applying a hybrid MCDM model for six sigma pro-ject selection. Mathematical Problems in Engineering, 2014.
Wey, W. M., & Wu, K. Y. (2007). Using ANP priorities with goal programming in resource allocation in transportation. Mathematical and computer modelling, 46(7), 985-1000.
Wu, Y., Geng, S., Xu, H., & Zhang, H. (2014). Study of decision framework of wind farm project plan selection under intuitionistic fuzzy set and fuzzy measure environment. Energy Conversion and Management, 87, 274-284.
Yau, Y. (2009). Multi-criteria decision making for urban built heritage conservation: application of the analytic hierarchy process. Journal of Building Appraisal, 4(3), 191-205.
Yazdani-Chamzini, A., Fouladgar, M. M., Zavadskas, E. K., & Moini, S. H. H. (2013). Selecting the optimal renewable energy using multi criteria decision making. Journal of Business Economics and Management, 14(5), 957-978.
Yazdani, M. (2015). New intuitionistic fuzzy approach with multi-objective optimisation on the basis of ratio analysis method. International Journal of Business and Systems Research, 9(4), 355-374.
Yousefi, A., & Hadi-Vencheh, A. (2016). Selecting Six Sigma projects: MCDM or DEA?. Journal of Modelling in Management, 11(1), 309-325.
Zavadskas, E. K., Turskis, Z., Tamošaitiené, J., & Marina, V. (2008). Multicriteria selection of project managers by applying grey criteria. Technological and Economic Development of Economy, 14(4), 462-477.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1(1), 3-28.
Zadeh, L. A. (1996). Fuzzy logic= computing with words. IEEE transactions on fuzzy systems, 4(2), 103-111.
Adhikary, P., Roy, P. K., & Mazumdar, A. (2015). Optimal renewable energy project selection: A multi-criteria optimization technique approach. Global Journal of Pure and Applied Mathemat-ics, 11(5), 3319-3329.
Alzober, W., & Yaakub, A. R. (2014). Integrated model for MCDM: Selection contractor in Malaysi-an construction industry. In Applied Mechanics and Materials (Vol. 548, pp. 1587-1595). Trans Tech Publications.
Ahmad, J., Javed, M. K., Nazam, M., & Nazim, M. (2015). Multiple criteria group decision making problem based on VIKOR method under Hesitant fuzzy environment. In Proceedings of the Ninth International Conference on Management Science and Engineering Management (pp. 1519-1528). Springer Berlin Heidelberg.
Bakshi, T., Sanyal, S. K., Sarkar, B., & Sinharay, A. (2012, March). A project Selection Framework of DSS by Dempster-shafer Theory under Fuzziness. In Recent Advances in Information Technology (RAIT), 2012 1st International Conference on (pp. 374-378). IEEE.
Bai, H., & Zhan, Z. (2011, October). An IT Project selection method based on fuzzy analytic network process. In System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on (Vol. 2, pp. 275-279). IEEE.
Bakshi, T., Sinharay, A., Sarkar, B., & Sanyal, S. (2011). MCDM based project selection by F-AHP & VIKOR. Swarm, Evolutionary, and Memetic Computing, 381-388.
Baysal, M. E., Kaya, İ., Kahraman, C., Sarucan, A., & Engin, O. (2015). A two phased fuzzy meth-odology for selection among municipal projects. Technological and Economic Development of Economy, 21(3), 405-422.
Charnes A, Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Chang, K. L. (2013). Combined MCDM approaches for century-old Taiwanese food firm new prod-uct development project selection. British Food Journal, 115(8), 1197-1210.
Chang, K. L. (2015). A hybrid program projects selection model for nonprofit TV sta-tions. Mathematical Problems in Engineering, 2015.
Chen, C. T. (2002). A decision model for information system project selection. In Engineering Man-agement Conference, 2002. IEMC'02. 2002 IEEE International (Vol. 2, pp. 585-589). IEEE.
Chen, C. T., & Cheng, H. L. (2009). A comprehensive model for selecting information system project under fuzzy environment. International Journal of Project Management, 27(4), 389-399.
Chen, V. Y. C., & Tzeng, G. H. (2010, July). The best project selection for the environment planning of coastal wetlands region based on a hybrid MCDM model. In Computers and Industrial Engi-neering (CIE), 2010 40th International Conference on (pp. 1-6). IEEE.
Daneshvar Rouyendegh, B., & Erol, S. (2012). Selecting the best project using the fuzzy ELECTRE method. Mathematical Problems in Engineering, 2012.
Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1-24.
Dodangeh, J., & Mojahed, M. (2009, April). Best project selection by using of Group TOPSIS meth-od. In Computer Science and Information Technology-Spring Conference, 2009. IACSITSC'09. In-ternational Association of (pp. 50-53). IEEE.
Ebrahimnejad, S., Mousavi, S. M., Tavakkoli-Moghaddam, R., Hashemi, H., & Vahdani, B. (2012). A novel two-phase group decision making approach for construction project selection in a fuzzy envi-ronment. Applied Mathematical Modelling, 36(9), 4197-4217.
Gao, P., Feng, J., & Yang, L. (2008, October). Fuzzy TOPSIS algorithm for multiple criteria decision making with an application in information systems project selection. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on (pp. 1-4). IEEE.
Lee, J. W., & Kim, S. H. (2000). Using analytic network process and goal programming for interde-pendent information system project selection. Computers & Operations Research, 27(4), 367-382.
Lee, J. W., & Kim, S. H. (2001). An integrated approach for interdependent information system pro-ject selection. International Journal of Project Management, 19(2), 111-118.
Liang, X., Sun, X., Shu, G., Sun, K., Wang, X., & Wang, X. (2013). Using the analytic network pro-cess (ANP) to determine method of waste energy recovery from engine. Energy Conversion and Management, 66, 304-311.
Li, C. H., Sun, Y. H., & Du, Y. W. (2008, October). A new MCDM approach based on cross-impact analysis for ranking dependent alternatives. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on (pp. 1-4). IEEE.
Lu, I. J., Lin, S. J., & Lewis, C. (2008). Grey relation analysis of motor vehicular energy consumption in Taiwan. Energy Policy, 36(7), 2556-2561.
Hashemkhani Zolfani, S., Salimi, J., Maknoon, R., & Kildiene, S. (2015). Technology foresight about R&D projects selection; Application of SWARA method at the policy making level. Engineering Economics, 26(5), 571-580.
Hou, G. (2011, May). IT/IS project selection: A grey multi-criteria decision model approach. In E-Business and E-Government (ICEE), 2011 International Conference on (pp. 1-4). IEEE.
Huang, W. C., Teng, J. Y., & Lin, M. C. (2008, October). Application of fuzzy multiple criteria deci-sion making in the selection of infrastructure projects. In Fuzzy Systems and Knowledge Discovery, 2008. FSKD'08. Fifth International Conference on (Vol. 5, pp. 159-163). IEEE.
Hwang, C.L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.
Jafarian, A., Nikabadi, M. S., & Amiri, M. (2014). Framework for prioritizing and allocating six sigma projects using fuzzy TOPSIS and fuzzy expert system. Scientia Iranica. Transaction E, Industrial Engineering, 21(6), 2281.
Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard: translating strategy into action. Har-vard Business Press.
Karaveg, C., Thawesaengskulthai, N., & Chandrachai, A. (2015). A combined technique using SEM and TOPSIS for the commercialization capability of R & D project evaluation. Decision Science Letters, 4(3), 379-396.
Mojahed, M., & Dodangeh, J. (2009, August). Using engineering economy techniques with group topsis method for best project selection. In Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on (pp. 232-234). IEEE.
Morán, J., Granada, E., Míguez, J. L., & Porteiro, J. (2006). Use of grey relational analysis to assess and optimize small biomass boilers. Fuel Processing Technology, 87(2), 123-127.
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
Öztaysi, B. (2015). A group decision making approach using interval type-2 fuzzy AHP for enterprise information systems project selection. Multiple-Valued Logic and Soft Computing, 24(5-6), 475-500.
Mohamed, F., & Ahmed, A. N. (2012). Analysis of project selection by using SDV-MOORA ap-proach. Life Science Journal, 9(2s).
Mohanty, R. P. (1992). Project selection by a multiple-criteria decision-making method: an example from a developing country. International Journal of Project Management, 10(1), 31-38.
Patel, J. D., & Maniya, K. D. (2015). Application of AHP/MOORA method to select wire cut electri-cal discharge machining process parameter to cut EN31 alloys steel with Brasswire. Materials To-day: Proceedings, 2(4), 2496-2503.
Perçin, S., & Kahraman, C. (2010). An integrated fuzzy multi-criteria decision-making approach for Six Sigma project. International Journal of Computational Intelligence Systems, 3(5), 610-621.
Pirdashti, M., Ghadi, A., Mohammadi, M., & Shojatalab, G. (2009). Multi-criteria decision-making se-lection model with application to chemical engineering management decisions. World Academy of Science, Engineering and Technology, 49, 54-59.
Ramani, T. L., Quadrifoglio, L., & Zietsman, J. (2010). Accounting for nonlinearity in the MCDM approach for a transportation planning application. IEEE Transactions on Engineering Manage-ment, 57(4), 702-710.
Ravi, V., Shankar, R., & Tiwari, M. K. (2008). Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach. International Journal of Production Re-search, 46(17), 4849-4870.
Saaty, T. L. (1986). Axiomatic foundation of the analytic hierarchy process. Management sci-ence, 32(7), 841-855.
Saaty, T. L. (1996). The analytic network process. Pittsburgh: RWS Publications.
Salehi, K. (2015). A hybrid fuzzy MCDM approach for project selection problem. Decision Science Letters, 4(1), 109-116.
Teng, J. Y., Huang, W. C., & Lin, M. C. (2010). Systematic budget allocation for transportation con-struction projects: a case in Taiwan. Transportation, 37(2), 331-361.
Thipparat, T., & Thaseepetch, T. (2013). An integrated VIKOR and fuzzy AHP method for assessing a sustainable research project. World Applied Sciences Journal, 22(12), 1729-1738.
Vinodh, S., & Swarnakar, V. (2015). Lean Six Sigma project selection using hybrid approach based on fuzzy DEMATEL–ANP–TOPSIS. International Journal of Lean Six Sigma, 6(4), 313-338.
Wang, W. M., Lee, A. H., Peng, L. P., & Wu, Z. L. (2013). An integrated decision making model for district revitalization and regeneration project selection. Decision Support Systems, 54(2), 1092-1103.
Wang, F. K., Hsu, C. H., & Tzeng, G. H. (2014). Applying a hybrid MCDM model for six sigma pro-ject selection. Mathematical Problems in Engineering, 2014.
Wey, W. M., & Wu, K. Y. (2007). Using ANP priorities with goal programming in resource allocation in transportation. Mathematical and computer modelling, 46(7), 985-1000.
Wu, Y., Geng, S., Xu, H., & Zhang, H. (2014). Study of decision framework of wind farm project plan selection under intuitionistic fuzzy set and fuzzy measure environment. Energy Conversion and Management, 87, 274-284.
Yau, Y. (2009). Multi-criteria decision making for urban built heritage conservation: application of the analytic hierarchy process. Journal of Building Appraisal, 4(3), 191-205.
Yazdani-Chamzini, A., Fouladgar, M. M., Zavadskas, E. K., & Moini, S. H. H. (2013). Selecting the optimal renewable energy using multi criteria decision making. Journal of Business Economics and Management, 14(5), 957-978.
Yazdani, M. (2015). New intuitionistic fuzzy approach with multi-objective optimisation on the basis of ratio analysis method. International Journal of Business and Systems Research, 9(4), 355-374.
Yousefi, A., & Hadi-Vencheh, A. (2016). Selecting Six Sigma projects: MCDM or DEA?. Journal of Modelling in Management, 11(1), 309-325.
Zavadskas, E. K., Turskis, Z., Tamošaitiené, J., & Marina, V. (2008). Multicriteria selection of project managers by applying grey criteria. Technological and Economic Development of Economy, 14(4), 462-477.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1(1), 3-28.
Zadeh, L. A. (1996). Fuzzy logic= computing with words. IEEE transactions on fuzzy systems, 4(2), 103-111.