How to cite this paper
Karande, P & Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection.Decision Science Letters , 1(1), 11-21.
Refrences
Asgari, M., Allahverdiloo, M., & Samkhani, S. (2011). A comprehensive framework for selecting the ERP system in Iran Khodro company. European Journal of Economics, Finance and Administrative Sciences, 38, 7-19.
Aya?, Z., & ?zdemir, G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169-2194.
Bernroider, E.W.N., & Mitl?hner, J. (2005). Characteristics of the multiple attribute decision making methodology in enterprise resource planning software decisions. Communications of the IIMA, 5(1), 49-58.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in transition economy. Control and Cybernetics, 35(2), 443-468.
Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., & Turskis, Z. (2008), Multi-objective decision-making for road design. Transport, 23(3), 183-193.
Brauers, W.K.M., Zavadskas, E.K., Turskis, Z., & Vilutiene, T. (2008). Multi-objective contractor’s ranking by applying the MOORA method. Journal of Business Economics and Management, 9(4), 245-255.
Brauers, W.K.M., & Ginevicius, R. (2009). Robustness in regional development studies: The case of Lithuania. Journal of Business Economics and Management, 10(2), 121-140.
Brauers, W.K.M., & Zavadskas, E.K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.
Brauers, W.K.M., & Zavadskas, E.K. (2012). Robustness of MULTIMOORA: A method for multi-objective optimization. Informatica, 23(1), 1-25.
Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications, 36(5), 8900-8909.
Chakraborty, S. (2010). Application of the MOORA method for decision making in manufacturing environment. International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
Forslund, H., & Jonsson, P. (2010). Selection, implementation and use of ERP systems for supply chain performance management. Industrial Management & Data Systems, 110(8), 1159-1175.
Huiqun, H., & Guang, S. (2012). ERP software selection using the rough set and TOPSIS methods under fuzzy environment. Advances in Information Sciences and Service Sciences, 4(3), 111-118.
Karaarslan, N., & Gundogar, E. (2009). An application for modular capability-based ERP software selection using AHP method. International Journal of Advanced Manufacturing Technology, 42(9-10), 1025-1033.
Karsak, E.E., & ?zogul, C.O. (2009). An integrated decision making approach for ERP system selection. Expert Systems with Applications, 36(1), 660-667.
Khaled, A., & Idrissi, M.A.J. (2011). A learning driven model for ERP software selection based on the Choquet integral: small and medium enterprises context. In Ariwa, E. and El-Qawasmeh, E. (Eds.): 358-371, Springer-Verlag, Berlin.
Kracka, M., Brauers, W.K.M., & Zavadskas, E.K. (2010). Ranking heating losses in a building by applying the MULTIMOORA. Engineering Economics, 21(4), 352-359.
Liang, S-K., & Lien, C-T. (2007). Selecting the optimal ERP software by combining the ISO 9126 standard and fuzzy AHP approach. Contemporary Management Research, 3(1), 23-44.
Liao, X., Li, Y., & Lu, B. (2007). A model for selecting an ERP system based on linguistic information processing. Information Systems, 32(7), 1005-1017.
Lien, C-T., & Liang, S-K. (2005). An ERP system selection model with project management viewpoint – A fuzzy multi-criteria decision-making approach. International Journal of the Information Systems for Logistics and Management, 1(1), 39-46.
Lien, C-T., & Chan, H-L. (2007). A selection model for ERP system by applying fuzzy AHP approach. International Journal of The Computer, the Internet and Management, 15(3), 58-72.
Nazemi, E., Tarokh, M.J., & Djavanshir, G.R. (2012). ERP: A literature survey. International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-011-3756-x.
Nikjoo, M.A., Khah, M.M., & Moghimi, A. (2011). Fuzzy TOPSIS and GP application for evaluation and selection of a suitable ERP. Australian Journal of Basic and Applied Sciences, 5(11), 1358-1367.
Onut, S., & Efendigil, T. (2010). A theorical model design for ERP software selection process under the constraints of cost and quality: A fuzzy approach. Journal of Intelligent & Fuzzy Systems, 21(6), 365-378.
Rouyendegh, B.D., & Erkan, T.E. (2011). ERP system selection by AHP method: Case study form Turkey. International Journal of Business and Management Studies, 3(1), 39-48.
Shyur, H-J. (2003). A semi-structured process for ERP systems evaluation: Applying analytic network process. Journal of e-Business, 5(1), 33-49.
Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
Wei, C-C., & Wang, M-J.J. (2004). A comprehensive framework for selecting an ERP system. International Journal of Project Management, 22(2), 161-169.
Wei, C-C., Chien, C-F., & Wang, M-J.J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47-62.
Yazgan, H.R., Boran, S., & Goztepe, K. (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), 9214-9222.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
Aya?, Z., & ?zdemir, G. (2007). An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), 2169-2194.
Bernroider, E.W.N., & Mitl?hner, J. (2005). Characteristics of the multiple attribute decision making methodology in enterprise resource planning software decisions. Communications of the IIMA, 5(1), 49-58.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in transition economy. Control and Cybernetics, 35(2), 443-468.
Brauers, W.K.M., Zavadskas, E.K., Peldschus, F., & Turskis, Z. (2008), Multi-objective decision-making for road design. Transport, 23(3), 183-193.
Brauers, W.K.M., Zavadskas, E.K., Turskis, Z., & Vilutiene, T. (2008). Multi-objective contractor’s ranking by applying the MOORA method. Journal of Business Economics and Management, 9(4), 245-255.
Brauers, W.K.M., & Ginevicius, R. (2009). Robustness in regional development studies: The case of Lithuania. Journal of Business Economics and Management, 10(2), 121-140.
Brauers, W.K.M., & Zavadskas, E.K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.
Brauers, W.K.M., & Zavadskas, E.K. (2012). Robustness of MULTIMOORA: A method for multi-objective optimization. Informatica, 23(1), 1-25.
Cebeci, U. (2009). Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard. Expert Systems with Applications, 36(5), 8900-8909.
Chakraborty, S. (2010). Application of the MOORA method for decision making in manufacturing environment. International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
Forslund, H., & Jonsson, P. (2010). Selection, implementation and use of ERP systems for supply chain performance management. Industrial Management & Data Systems, 110(8), 1159-1175.
Huiqun, H., & Guang, S. (2012). ERP software selection using the rough set and TOPSIS methods under fuzzy environment. Advances in Information Sciences and Service Sciences, 4(3), 111-118.
Karaarslan, N., & Gundogar, E. (2009). An application for modular capability-based ERP software selection using AHP method. International Journal of Advanced Manufacturing Technology, 42(9-10), 1025-1033.
Karsak, E.E., & ?zogul, C.O. (2009). An integrated decision making approach for ERP system selection. Expert Systems with Applications, 36(1), 660-667.
Khaled, A., & Idrissi, M.A.J. (2011). A learning driven model for ERP software selection based on the Choquet integral: small and medium enterprises context. In Ariwa, E. and El-Qawasmeh, E. (Eds.): 358-371, Springer-Verlag, Berlin.
Kracka, M., Brauers, W.K.M., & Zavadskas, E.K. (2010). Ranking heating losses in a building by applying the MULTIMOORA. Engineering Economics, 21(4), 352-359.
Liang, S-K., & Lien, C-T. (2007). Selecting the optimal ERP software by combining the ISO 9126 standard and fuzzy AHP approach. Contemporary Management Research, 3(1), 23-44.
Liao, X., Li, Y., & Lu, B. (2007). A model for selecting an ERP system based on linguistic information processing. Information Systems, 32(7), 1005-1017.
Lien, C-T., & Liang, S-K. (2005). An ERP system selection model with project management viewpoint – A fuzzy multi-criteria decision-making approach. International Journal of the Information Systems for Logistics and Management, 1(1), 39-46.
Lien, C-T., & Chan, H-L. (2007). A selection model for ERP system by applying fuzzy AHP approach. International Journal of The Computer, the Internet and Management, 15(3), 58-72.
Nazemi, E., Tarokh, M.J., & Djavanshir, G.R. (2012). ERP: A literature survey. International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-011-3756-x.
Nikjoo, M.A., Khah, M.M., & Moghimi, A. (2011). Fuzzy TOPSIS and GP application for evaluation and selection of a suitable ERP. Australian Journal of Basic and Applied Sciences, 5(11), 1358-1367.
Onut, S., & Efendigil, T. (2010). A theorical model design for ERP software selection process under the constraints of cost and quality: A fuzzy approach. Journal of Intelligent & Fuzzy Systems, 21(6), 365-378.
Rouyendegh, B.D., & Erkan, T.E. (2011). ERP system selection by AHP method: Case study form Turkey. International Journal of Business and Management Studies, 3(1), 39-48.
Shyur, H-J. (2003). A semi-structured process for ERP systems evaluation: Applying analytic network process. Journal of e-Business, 5(1), 33-49.
Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
Wei, C-C., & Wang, M-J.J. (2004). A comprehensive framework for selecting an ERP system. International Journal of Project Management, 22(2), 161-169.
Wei, C-C., Chien, C-F., & Wang, M-J.J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47-62.
Yazgan, H.R., Boran, S., & Goztepe, K. (2009). An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), 9214-9222.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.