How to cite this paper
Abedini, E., Naami, A & Modiri, M. (2013). A study on ranking ethical factors influencing customer loyalty.Management Science Letters , 3(10), 2597-2602.
Refrences
Afsharkazemi, M.A., Khodabakhsh, M., & Motadel, M.R. (2012). Applying fuzzy analytic network process in quality function deployment model. Management Science Letters, 2(4), 1325-1340.
Alvandi, M., Fazli, S., Yazdani, L., & Aghaee, M. (2012). An Integrated MCDM Method in Ranking BSC Perspectives and key Performance Indicators (KPIs). Management Science Letters, 2(3), 995-1004.
Chen, L. Y., & Wang, T.-C. (2009). Optimizing partners & apos; choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120(1), 233-242.
Chu, M.T., Shyu, J., Tzeng, G.H., & Khosla, R. (2007). Comparison among three analytic method for knowledge communication group decision analysis. Expert Systems with Applications, 33(4), 1011–1024.
Fazli, S., & Jafari, H. (2012). Developing a hybrid multi-criteria model for investment in stock exchange. Management Science Letters, 2(2), 457-468.
Lin, C. T., & Tsai, M. C. (2009). Development of an expert selection system to choose ideal cities for medical service ventures. Expert Systems with Applications, 36(2), 2266-2274.
Opricovic, S. (1998). Multiple criteria Optimization of Civil Engineering Systems, Faculty of Civil Engineering, Belgrade.
Opricovic, S. (2008). A compromise solution in water resources planning. Water resource management, 23, 1549–1561.
Opricovic, S., & Tzeng, G.H. (2004). Compromise solution by MCDM method: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156 (2), 445–455.
Saaty, T. L. (1996). The analytic network process-decision making with dependence and feedback. Pittsburgh, PA: RWS Publications.
Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of systems science and systems engineering, 13(1), 1-35.
Sekitani, K., & Takahashi, I. (2001). A unified model and analysis for AHP and ANP. Journal of the Operations Research Society of Japan, 44(1), 67–89.
Serkani, E. S., Mardi, M., Najafi, E., Jahanian, K., & Herat, A. T. (2013). Using AHP and ANP approaches for selecting improvement projects of Iranian Excellence Model in healthcare sector. African Journal of Business Management, 7(23), 2271-2283.
Trajkovic, S., Avakumovic, D., & Opricovic S. (1997). Multi criteria optimization of an irrigation system. Architecture and Civil Engineering, 1(4), 547 – 552.
Tzeng G.H., Lin C.W., & Opricovic, S. (2005). Multi criteria analysis alternative fuel buses for public transportation. Energy Policy, 33, 1373–1383.
Ware, N.R., Sing, S.P., & Banwet, D.K. (2012). Supplier selection problem: A state-of-the-art review. Management Science Letters, 2(5), 1465-1490.
Wu, H.Y., Tzeng, G.H., & Chen, Y.H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.
Yadollahi Farsi, J., Siahkali Moradi, J., Jamali, B. (2012). Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers & apos; point of view; Case study: Iranian cell phone market. Decision Science Letters, 1(1), 23-32.
Alvandi, M., Fazli, S., Yazdani, L., & Aghaee, M. (2012). An Integrated MCDM Method in Ranking BSC Perspectives and key Performance Indicators (KPIs). Management Science Letters, 2(3), 995-1004.
Chen, L. Y., & Wang, T.-C. (2009). Optimizing partners & apos; choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120(1), 233-242.
Chu, M.T., Shyu, J., Tzeng, G.H., & Khosla, R. (2007). Comparison among three analytic method for knowledge communication group decision analysis. Expert Systems with Applications, 33(4), 1011–1024.
Fazli, S., & Jafari, H. (2012). Developing a hybrid multi-criteria model for investment in stock exchange. Management Science Letters, 2(2), 457-468.
Lin, C. T., & Tsai, M. C. (2009). Development of an expert selection system to choose ideal cities for medical service ventures. Expert Systems with Applications, 36(2), 2266-2274.
Opricovic, S. (1998). Multiple criteria Optimization of Civil Engineering Systems, Faculty of Civil Engineering, Belgrade.
Opricovic, S. (2008). A compromise solution in water resources planning. Water resource management, 23, 1549–1561.
Opricovic, S., & Tzeng, G.H. (2004). Compromise solution by MCDM method: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156 (2), 445–455.
Saaty, T. L. (1996). The analytic network process-decision making with dependence and feedback. Pittsburgh, PA: RWS Publications.
Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of systems science and systems engineering, 13(1), 1-35.
Sekitani, K., & Takahashi, I. (2001). A unified model and analysis for AHP and ANP. Journal of the Operations Research Society of Japan, 44(1), 67–89.
Serkani, E. S., Mardi, M., Najafi, E., Jahanian, K., & Herat, A. T. (2013). Using AHP and ANP approaches for selecting improvement projects of Iranian Excellence Model in healthcare sector. African Journal of Business Management, 7(23), 2271-2283.
Trajkovic, S., Avakumovic, D., & Opricovic S. (1997). Multi criteria optimization of an irrigation system. Architecture and Civil Engineering, 1(4), 547 – 552.
Tzeng G.H., Lin C.W., & Opricovic, S. (2005). Multi criteria analysis alternative fuel buses for public transportation. Energy Policy, 33, 1373–1383.
Ware, N.R., Sing, S.P., & Banwet, D.K. (2012). Supplier selection problem: A state-of-the-art review. Management Science Letters, 2(5), 1465-1490.
Wu, H.Y., Tzeng, G.H., & Chen, Y.H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.
Yadollahi Farsi, J., Siahkali Moradi, J., Jamali, B. (2012). Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers & apos; point of view; Case study: Iranian cell phone market. Decision Science Letters, 1(1), 23-32.