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How to cite this paper
APA: Tlig, H & Rebai, A. (2017). A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports. Management Science Letters, 7(7), 351-358.
Chicago/Turabian: Tlig, H & Rebai, A. 2017. "A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports." Management Science Letters 7, no. 7 (2017): 351-358.
AMA: Tlig, H & Rebai, A. A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports. Management Science Letters. 2017;7(7):351-358.
References
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Atanassov, K. (1986), Intuitionistic fuzzy sets, Fuzzy sets and system, 20, 87-96.
Atanassov, K. (2000). Two theorems for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 110, 267–269.
Boran, F.E., Gen, S., Kurt, M. & Akay, D. (2009), A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 36, 11363-11368.
Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supplier chain management. International Journal of Production Economics, 102(2), 289–301.
Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40,1473–1490.
Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making. Berlin: Springer.
Hwang, C., & Yoon, K. (1981). Multiple attribute decision making: Methods and application. New York: Springer.
Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., & Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181, 1544–1551.
Joshi, D. & Kumar, S. (2014), Intuitionistic fuzzy entropy and distance measure based TOPSIS meth-od for multi criteria decision making. Egyptian informatics Journal, 15, 97-104.
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, 324–339.
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, 324–339.
Liang, G. S. (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Op-erational Research, 112, 682–691.
Tan, C. & Chen, X. (2010), Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making, Expert Systems with Applications, 37, 149–157.
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training aircraft un-der a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Wang, Y. J., & Lee, H. S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers and Mathematics with Applications, 53, 1762–1772.
Wang, Y. M., & Elhag, T. M. S. (2006). On the normalization of interval and fuzzy weights. Fuzzy Sets and Systems, 157, 2456–2471.
Wei, G., Zhao, X. & Lin, R. (2013), Some hesitant interval-valued fuzzy aggregation operators and their applications in multiple attribute decision making, Knowledge- Based Systems, 46, 45-53.
Xu, Z.S. (2007), Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control and Decision, 2, 22, 215-219.
Yeh, C. H., & Deng, H. (2004). A practical approach to fuzzy utilities comparison in fuzzy multicrite-ria analysis. International Journal of Approximate Reasoning, 35, 179–194.
Yeh, C. H., Deng, H., & Chang, Y. H. (2000). Fuzzy multicriteria analysis for performance evaluation of bus companies. European Journal of Operational Research, 126, 459–473.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zhang, H. & Liying, Y. (2012), MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets, Knowledge-Based Systems, 30, 115-120.
Atanassov, K. (1986), Intuitionistic fuzzy sets, Fuzzy sets and system, 20, 87-96.
Atanassov, K. (2000). Two theorems for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 110, 267–269.
Boran, F.E., Gen, S., Kurt, M. & Akay, D. (2009), A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 36, 11363-11368.
Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supplier chain management. International Journal of Production Economics, 102(2), 289–301.
Chen, M. F., & Tzeng, G. H. (2004). Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Mathematical and Computer Modelling, 40,1473–1490.
Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making. Berlin: Springer.
Hwang, C., & Yoon, K. (1981). Multiple attribute decision making: Methods and application. New York: Springer.
Jahanshahloo, G. R., Hosseinzadeh Lotfi, F., & Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181, 1544–1551.
Joshi, D. & Kumar, S. (2014), Intuitionistic fuzzy entropy and distance measure based TOPSIS meth-od for multi criteria decision making. Egyptian informatics Journal, 15, 97-104.
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, 324–339.
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, 324–339.
Liang, G. S. (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Op-erational Research, 112, 682–691.
Tan, C. & Chen, X. (2010), Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making, Expert Systems with Applications, 37, 149–157.
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training aircraft un-der a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Wang, Y. J., & Lee, H. S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers and Mathematics with Applications, 53, 1762–1772.
Wang, Y. M., & Elhag, T. M. S. (2006). On the normalization of interval and fuzzy weights. Fuzzy Sets and Systems, 157, 2456–2471.
Wei, G., Zhao, X. & Lin, R. (2013), Some hesitant interval-valued fuzzy aggregation operators and their applications in multiple attribute decision making, Knowledge- Based Systems, 46, 45-53.
Xu, Z.S. (2007), Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control and Decision, 2, 22, 215-219.
Yeh, C. H., & Deng, H. (2004). A practical approach to fuzzy utilities comparison in fuzzy multicrite-ria analysis. International Journal of Approximate Reasoning, 35, 179–194.
Yeh, C. H., Deng, H., & Chang, Y. H. (2000). Fuzzy multicriteria analysis for performance evaluation of bus companies. European Journal of Operational Research, 126, 459–473.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zhang, H. & Liying, Y. (2012), MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets, Knowledge-Based Systems, 30, 115-120.