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• [1] B. Chetia and P.K. Das, Some results of intuitionistic fuzzy soft matrix theory, Adv. Appl. Sci. Res. 3 (1), 412–423, 2012.
• [2] N. Çağman and S. Enginoğlu, Soft set theory and uni-int decision making, Eur. J. Oper. Res. 207 (2), 848–855, 2010.
• [3] N. Çağman and S. Enginoğlu, Soft matrix theory and its decision making, Comput. Math. Appl. 59, 3308–3314, 2010.
• [4] N. Çağman and S. Enginoğlu, Fuzzy soft matrix theory and its applications in decision making, Iran J. Fuzzy Syst. 9 (1), 109–119, 2012.
• [5] J. Maiers and Y.S. Sherif, Applications of fuzzy set theory, IEEE Trans. Syst. Man Cybern. 15 (1), 175–189, 1985.
• [6] D. Molodstov, Soft set theory first-results, Comput. Math. Appl. 37 (4-5), 190–31, 1999.
• [7] S. Mondal and M. Pal, Soft matrices, Afr. J. Math. Comput. Sci. Res. 4 (13), 379–388, 2011.
• [8] P.K. Maji, R. Biswas, and A.R. Roy, Fuzzy soft sets, J. Fuzzy Math. 9 (3), 589–502, 2001.
• [9] S. Miodrag and L.D. Petković, Complex interval arithmetic and its applications, John Wiley & Sons, 1998.
• [10] P. Rajarajeswari and P. Dhanalakshmi, An application of interval valued intuitionistic fuzzy soft matrix theory in medical diagnosis, to appear in Ann. Fuzzy Math. Inform.
• [11] A.K. Shyamal and M. Pal, Interval-valued fuzzy matrices, J. Fuzzy Math. 14 (3), 583–604, 2006.
• [12] Y. Yang and J. Chenli, Fuzzy soft matrices and their applications, Lect. Notes Comput. Sc. (Part I) 7002, 618–627, 2011.
• [13] D. Ramot, R. Milo, M. Friedman, and A. Kandel, Complex fuzzy sets, IEEE Trans. Fuzzy Syst. 10 (2), 171–186, 2012.
• [14] L.A. Zadeh, Fuzzy sets, Inform. Control 8, 338–353, 1965.
• [15] G. Zhang, T.S. Dillon, K.-Y. Cai, J. Ma, and J. Lu, Operation properties and δ- equalities of complex fuzzy sets. Int. J. Approx. Reason. 50, 1227–1249, 2009.