How to cite this paper
Adalı, E., Işık, A & Kundakcı, K. (2016). An alternative approach based on Fuzzy PROMETHEE method for the supplier selection problem.Uncertain Supply Chain Management, 4(3), 183-194.
Refrences
Aloini, D., Dulmin, R. & Mininno, V. (2009). A hybrid fuzzy-promethee method for logistic service selection. 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy.
Behzadian, M., Kazemzadeh, R.B., Albadvi, A. & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200(1), 198–215.
Bellman, R. & Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17B(4), 141–164.
Bilsel, R.U., Büyük?zkan, G. & Ruan, D. (2006). A fuzzy preference-ranking model for a quality evaluation of hospital web sites. International Journal of Intelligent Systems, 21(11), 1181–1197.
Brans, J. P. & Vincke, P. (1985). A preference ranking organization method. Management Science, 31, 647–656.
Brans, J. P., Mareschal, B. & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in MCDM. IFOR’84, Amsterdam, North-Holland.
Brans, J. P., Vincke, P. & Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24(2), 228–238.
Brans J.P. & Mareschal, B. (2005). PROMETHEE Methods, In: Figueira, J., Greco, S. & Ehrgott, M. (Eds.), Multicriteria Decision Analysis: State of the Art Surveys. USA: Springer Science and Business Media., 163-195.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289-301.
Chen, S. M., Hsiao, W. H. & Horng, Y. J. (1997). A knowledge-based method for fuzzy query processing for document retrieval. Cybernetics and Systems, 28(1), 99–119.
Chen, Y. H., Wang, T. C., & Wu, C. Y. (2011). Strategic decisions using the fuzzy PROMETHEE for IS outsourcing. Expert Systems with Applications,38(10), 13216-13222.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry.Fuzzy sets and systems, 115(1), 45-65.
Giannopoulos, D. & Founti, M. (2010). A fuzzy approach to incorporate uncertainty in the PROMETHEE multicriteria method. International Journal of Multicriteria Decision Making, 1(1), 80-102.
Goumas, M. & Lygerou, V. (2000). An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects. European Journal of Operational Research, 123(3), 606-613.
Hatami-Marbini, A., & Tavana, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environment. Omega, 39(4), 373-386.
Kandel. A. (1986). Fuzzy mathematical techniques with applications. Boston: Addison-Wesley Publishing Company.
Kaufmann, A. & Gupta, M. M. (1988). Fuzzy mathematical models in engineering and management science, Amsterdam: Elsevier Science Publishers B.V.
Kuo, M. S., Tzeng, G. H., & Huang, W. C. (2007). Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment.Mathematical and Computer Modelling, 45(3), 324-339.
Le Téno, J. F., & Mareschal, B. (1998). An interval version of PROMETHEE for the comparison of building products & apos; design with ill-defined data on environmental quality. European Journal of Operational Research, 109(2), 522-529.
Li, W. X., & Li, B. Y. (2010). An extension of the Promethee II method based on generalized fuzzy numbers. Expert Systems with Applications, 37(7), 5314-5319.
Moreira, M. P., Dupont, C. J. & Vellasco, M.M.B.R. (2009). PROMETHEE and fuzzy PROMETHEE multicriteria methods for ranking equipment failure modes. 15th International Conference on Intelligent System Application to Power Systems, Curitiba, Brasil, November 8-12.
Tuzkaya, G., Gülsün, B., Kahraman, C., & ?zgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, 37(4), 2853-2863.
Ulengin, F., Topcu, Y. I., & ?ahin, ?. ?. (2001). An integrated decision aid system for Bosphorus water-crossing problem. European Journal of Operational Research, 134(1), 179-192.
Wang, T.C., Chen, L.Y. & Chen, Y.H. (2008). Applying fuzzy PROMETHEE method for evaluating IS outsourcing suppliers. Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 361-365.
Zadeh. L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
Zhou, Y.,Vairavamoorthy, K. & Grimshaw, F. (2009). Development of a fuzzy based pipe condition assessment model using PROMETHEE. Proceedings of World Environmental and Water Resources Congress, May 17-21, Kansas City, Missouri.
Zimmermann. H. J. (1992). Fuzzy set theory and its applications. Boston: Kluwer Academic Publishers.
Behzadian, M., Kazemzadeh, R.B., Albadvi, A. & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200(1), 198–215.
Bellman, R. & Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17B(4), 141–164.
Bilsel, R.U., Büyük?zkan, G. & Ruan, D. (2006). A fuzzy preference-ranking model for a quality evaluation of hospital web sites. International Journal of Intelligent Systems, 21(11), 1181–1197.
Brans, J. P. & Vincke, P. (1985). A preference ranking organization method. Management Science, 31, 647–656.
Brans, J. P., Mareschal, B. & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in MCDM. IFOR’84, Amsterdam, North-Holland.
Brans, J. P., Vincke, P. & Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research, 24(2), 228–238.
Brans J.P. & Mareschal, B. (2005). PROMETHEE Methods, In: Figueira, J., Greco, S. & Ehrgott, M. (Eds.), Multicriteria Decision Analysis: State of the Art Surveys. USA: Springer Science and Business Media., 163-195.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289-301.
Chen, S. M., Hsiao, W. H. & Horng, Y. J. (1997). A knowledge-based method for fuzzy query processing for document retrieval. Cybernetics and Systems, 28(1), 99–119.
Chen, Y. H., Wang, T. C., & Wu, C. Y. (2011). Strategic decisions using the fuzzy PROMETHEE for IS outsourcing. Expert Systems with Applications,38(10), 13216-13222.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry.Fuzzy sets and systems, 115(1), 45-65.
Giannopoulos, D. & Founti, M. (2010). A fuzzy approach to incorporate uncertainty in the PROMETHEE multicriteria method. International Journal of Multicriteria Decision Making, 1(1), 80-102.
Goumas, M. & Lygerou, V. (2000). An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects. European Journal of Operational Research, 123(3), 606-613.
Hatami-Marbini, A., & Tavana, M. (2011). An extension of the Electre I method for group decision-making under a fuzzy environment. Omega, 39(4), 373-386.
Kandel. A. (1986). Fuzzy mathematical techniques with applications. Boston: Addison-Wesley Publishing Company.
Kaufmann, A. & Gupta, M. M. (1988). Fuzzy mathematical models in engineering and management science, Amsterdam: Elsevier Science Publishers B.V.
Kuo, M. S., Tzeng, G. H., & Huang, W. C. (2007). Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment.Mathematical and Computer Modelling, 45(3), 324-339.
Le Téno, J. F., & Mareschal, B. (1998). An interval version of PROMETHEE for the comparison of building products & apos; design with ill-defined data on environmental quality. European Journal of Operational Research, 109(2), 522-529.
Li, W. X., & Li, B. Y. (2010). An extension of the Promethee II method based on generalized fuzzy numbers. Expert Systems with Applications, 37(7), 5314-5319.
Moreira, M. P., Dupont, C. J. & Vellasco, M.M.B.R. (2009). PROMETHEE and fuzzy PROMETHEE multicriteria methods for ranking equipment failure modes. 15th International Conference on Intelligent System Application to Power Systems, Curitiba, Brasil, November 8-12.
Tuzkaya, G., Gülsün, B., Kahraman, C., & ?zgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, 37(4), 2853-2863.
Ulengin, F., Topcu, Y. I., & ?ahin, ?. ?. (2001). An integrated decision aid system for Bosphorus water-crossing problem. European Journal of Operational Research, 134(1), 179-192.
Wang, T.C., Chen, L.Y. & Chen, Y.H. (2008). Applying fuzzy PROMETHEE method for evaluating IS outsourcing suppliers. Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 361-365.
Zadeh. L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
Zhou, Y.,Vairavamoorthy, K. & Grimshaw, F. (2009). Development of a fuzzy based pipe condition assessment model using PROMETHEE. Proceedings of World Environmental and Water Resources Congress, May 17-21, Kansas City, Missouri.
Zimmermann. H. J. (1992). Fuzzy set theory and its applications. Boston: Kluwer Academic Publishers.