[1] Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
[2] Arif, B. A. L., Çuvalcioğlu, G., & Altinci, C. (2023). (α, β)-interval valued intuitionistic fuzzy sets defined on (Α, Β)-interval valued set. Journal of universal mathematics, 6(1), 114–130.
[3] Molodtsov, D. (1999). Soft set theory—first results. Computers & mathematics with applications, 37(4-5), 19–31. https://doi.org/10.1016/S0898-1221(99)00056-5
[4] Maji, P. K., Biswas, R., & Roy, A. R. (2003). Soft set theory. Computers and mathematics with applications, 45(4–5), 555–562. DOI:10.1016/S0898-1221(03)00016-6
[5] Kong, Z., Wang, L., & Wu, Z. (2011). Application of fuzzy soft set in decision making problems based on grey theory. Journal of computational and applied mathematics, 236(6), 1521–1530.
[6] Caǧman, N., Enginoǧlu, S., & Citak, F. (2011). Fuzzy soft set theory and its applications. Iranian journal of fuzzy systems, 8(3), 137–147.
[7] Roy, A. R., & Maji, P. K. (2007). A fuzzy soft set theoretic approach to decision making problems. Journal of computational and applied mathematics, 203(2), 412–418. DOI:10.1016/j.cam.2006.04.008
[8] Gogoi, K., Kr. Dutta, A., & Chutia, C. (2014). Application of fuzzy soft set theory in day to day problems. International journal of computer applications, 85(7), 27–31. DOI:10.5120/14854-3221
[9] Ali, M., Khan, H., Son, L. H., Smarandache, F., & Kandasamy, W. B. V. (2018). New soft set based class of linear algebraic codes. Symmetry, 10(10), 510. DOI:10.3390/sym10100510
[10] Smarandache, F. (2016). New class of soft linear algebraic codes and their properties using soft sets. University of new mexico digital repository. https://digitalrepository.unm.edu/math_fsp/396/
[11] Bustince, H. (2010). Interval-valued fuzzy sets in soft computing. International journal of computational intelligence systems, 3(2), 215–222. DOI:10.2991/ijcis.2010.3.2.9
[12] Gehrke, M., Walker, C., & Walker, E. (2001). Some basic theory of interval-valued fuzzy sets. Proceedings joint 9th IFSA world congress and 20th NAFIPS international conference (Cat. No. 01TH8569) (Vol. 3, pp. 1332–1336). IEEE. DOI: 10.1109/nafips.2001.943741
[13] Hong, Z., & Qin, K. (2014). Algebraic structure of fuzzy soft sets. Rough sets and knowledge technology: 9th international conference, RSKT 2014, Shanghai, China, October 24-26, 2014, proceedings (pp. 569–576). Springer International Publishing. https://doi.org/10.1007/978-3-319-11740-9_52
[14] Yang, X., Lin, T. Y., Yang, J., Li, Y., & Yu, D. (2009). Combination of interval-valued fuzzy set and soft set. Computers and mathematics with applications, 58(3), 521–527. DOI:10.1016/j.camwa.2009.04.019
[15] Alkhazaleh, S., & Salleh, A. R. (2012). Generalised interval-valued fuzzy soft set. Journal of applied mathematics, 2012. https://doi.org/10.1155/2012/870504
[16] Jiang, Y., Tang, Y., Chen, Q., Liu, H., & Tang, J. (2010). Interval-valued intuitionistic fuzzy soft sets and their properties. Computers and mathematics with applications, 60(3), 906–918. DOI:10.1016/j.camwa.2010.05.036
[17] Mohamed, A. awad, Abualigah, L., Alburaikan, A., & Khalifa, H. A. E. W. (2023). AOEHO: a new hybrid data replication method in fog computing for iot application. Sensors, 23(4), 2189. DOI:10.3390/s23042189
[18] Ali, W., Shaheen, T., Haq, I. U., Toor, H. G., Alballa, T., & Khalifa, H. A. E. W. (2023). A novel interval-valued decision theoretic rough set model with intuitionistic fuzzy numbers based on power aggregation operators and their application in medical diagnosis. Mathematics, 11(19), 4153. DOI:10.3390/math11194153
[19] Ali, W., Shaheen, T., Toor, H. G., Alballa, T., Alburaikan, A., & Khalifa, H. A. E. W. (2023). An improved intuitionistic fuzzy decision-theoretic rough set model and its application. Axioms, 12(11), 1003. DOI:10.3390/axioms12111003
[20] Kane, L., Bado, H., Diakite, M., Konate, M., Kane, S., & Traore, K. (2021). Solving semi-fully fuzzy linear programming problems. International journal of research in industrial engineering, 10(3), 251–275.
[21] Sheikhi, A., & Ebadi, M. J. (In Press). An efficient method for solving linear interval fractional transportation problems. Journal of applied research on industrial engineering. https://www.journal-aprie.com/article_181720.html
[22] Chetia, B., & Das, P. K. (2010). An application of interval-valued fuzzy soft sets in medical diagnosis. International journal of contemporary mathematical sciences, 5(38), 1887–1894.
[23] Soltanifar, M. (2024). A new interval for ranking alternatives in multi attribute decision making problems. Journal of applied research on industrial engineering, 11(1), 37–56. https://www.journal-aprie.com/article_158340.html
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