[[1] B. Ashtiani, F. Haghighirad, A. Makui and G. Montazer, Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets, Applied Soft Computing, 9(2), 2009, 457–46110.1016/j.asoc.2008.05.005]Search in Google Scholar
[[2] I. Beg and T. Rashid, Multi-criteria trapezoidal valued intuitionistic fuzzy decision making with Choquet integral based TOPSIS, OPSEARCH, 51(1), 2014, 98-12910.1007/s12597-013-0134-5]Search in Google Scholar
[[3] I. Beg and T. Rashid, TOPSIS for hesitant fuzzy linguistic term sets, International Journal of Intelligent Systems, 28, 2013, 1162–117110.1002/int.21623]Search in Google Scholar
[[4] R. E. Bellman and L. A. Zadeh, Decision making in a fuzzy environment, Management Science, 17(4), 1970, 141-16410.1287/mnsc.17.4.B141]Search in Google Scholar
[[5] F. E. Boran, S. Gen, M. Kurt and D. Akay, A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 36, 2009, 11363–1136810.1016/j.eswa.2009.03.039]Search in Google Scholar
[[6] C. T. Chen, Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114, 2000) 1–910.1016/S0165-0114(97)00377-1]Search in Google Scholar
[[7] S. J. Chen and C. L. Hwang, Fuzzy multiple attribute decision making, Berlin: Springer, 1992)10.1007/978-3-642-46768-4]Search in Google Scholar
[[8] T.-C. Chu and Y.-C. Lin, An interval arithmetic based fuzzy TOPSIS model, Expert Systems with Applications, 36, 2009, 10870–1087610.1016/j.eswa.2009.01.083]Search in Google Scholar
[[9] D. Dubois, The role of fuzzy sets in decision sciences: Old techniques and new directions, Fuzzy Sets and Systems, 184, 2011, 3–2810.1016/j.fss.2011.06.003]Search in Google Scholar
[[10] F. Herrera, E. Herrera-Viedma and L. Martinez, A fusion approach for managing multi-granularity linguistic term sets in decision making, Fuzzy Sets and Systems, 114, 2000, 43–5810.1016/S0165-0114(98)00093-1]Search in Google Scholar
[[11] C. L. Hwang and K. Yoon, Multiple attributes decision making methods and applications, Berlin, Heidelberg: Springer, 1981)10.1007/978-3-642-48318-9_3]Search in Google Scholar
[[12] G. R. Jahanshahloo, H. F. Lotfi and M. Izadikhah, Extension of the TOPSIS method for decision-making problems with fuzzy data, Applied Mathematics and Computation, 181(2), 2006, 1544–155110.1016/j.amc.2006.02.057]Search in Google Scholar
[[13] J. Jiang, Y.-W. Chen, Y.-W. Chen, K.-W. Yang, TOPSIS with fuzzy belief structure for group belief multiple criteria decision making, Expert Systems with Applications, 38, 2011, 9400–940610.1016/j.eswa.2011.01.128]Search in Google Scholar
[[14] T. Kaya and C. Kahraman, Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology, Expert Systems with Applications, 38(6), 2011, 6577–658510.1016/j.eswa.2010.11.081]Search in Google Scholar
[[15] G. Kim, C. Park and K. Yoon, Identifying investment opportunities for advanced manufacturing systems with comparative-integrated, International Journal of Production Economics, 50, 1997, 23-3310.1016/S0925-5273(97)00014-5]Search in Google Scholar
[[16] M. S. Kuo, G. H. Tzeng and W. C. Huang, Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment, Mathematical and Computer Modelling, 45, 2007, 324–33910.1016/j.mcm.2006.05.006]Search in Google Scholar
[[17] I. Mahdavi, N. Mahdavi-Amiri, A. Heidarzade and R. Nourifar, Designing a model of fuzzy TOPSIS in multiple criteria decision making, Applied Mathematics and Computation, 206, 2008, 607–61710.1016/j.amc.2008.05.047]Search in Google Scholar
[[18] D. S. Negi, Fuzzy analysis and optimization, PhD thesis. Department of Industrial Engineering, Kansas State University, 1989)]Search in Google Scholar
[[19] J. Peng, J. Wang, J. Wang, L. Yang and X. Chen, An extension of ELECTRE to multi-criteria decision-making problems with multi-hesitant fuzzy sets. Information Sciences, 307, 2015, 113–12610.1016/j.ins.2015.02.030]Search in Google Scholar
[[20] T. Rashid, I. Beg and S. M. Husnine, Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS, Applied Soft Computing. Applied Soft Computing, 21, 2014, 462–46810.1016/j.asoc.2014.04.002]Search in Google Scholar
[[21] R. M. Rodriguez, L. Martinez and F. Herrera, Hesitant fuzzy linguistic term sets for decision making, IEEE Transaction on fuzzy Systems 20(1), 2012, 109–11810.1109/TFUZZ.2011.2170076]Search in Google Scholar
[[22] H. Shih, H. Shyur and E. Lee, An extension of TOPSIS for group decision making, Mathematical and Computer Modelling, 45, 2007, 801–81310.1016/j.mcm.2006.03.023]Search in Google Scholar
[[23] V. Torra, Hesitant fuzzy sets, International Journal of Intelligent Systems, 25(6), 2010, 529–53910.1002/int.20418]Search in Google Scholar
[[24] T. C. Wang and T. H. Chang, Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment, Expert Systems with Applications, 33, 2007, 870–88010.1016/j.eswa.2006.07.003]Search in Google Scholar
[[25] J. H. Wang and J. Y. Hao, A new version of 2-tuple fuzzy linguistic representation model for computing with words, IEEE Transactions on Fuzzy Systems, 14(3), 2006, 435–44510.1109/TFUZZ.2006.876337]Search in Google Scholar
[[26] Y. J. Wang and H. S. Lee, Generalizing TOPSIS for fuzzy multiple-criteria group decision-making, Computers and Mathematics with Applications, 53, 2007, 1762–177210.1016/j.camwa.2006.08.037]Search in Google Scholar
[[27] G. Wei, Hesitant fuzzy prioritized operators and their application to multiple attribute decision making, Knowledge-Based Systems 31, 2012, 176-18210.1016/j.knosys.2012.03.011]Search in Google Scholar
[[28] M. Xia and Z. Xu, Hesitant fuzzy information aggregation in decision making, International Journal of Approximate Reasoning, 52, 2011, 395–40710.1016/j.ijar.2010.09.002]Search in Google Scholar
[[29] Z. Xu and M. Xia, On distance and correlation measures of hesitant fuzzy information, International Journal of Intelligent Systems, 26, 2011, 410–42510.1002/int.20474]Search in Google Scholar