References

  1. Acar U., Koyuncu F., Tanay B. Soft sets and soft rings. Comput. Math. Appl. 2010, 59 (11), 3458–3463. doi:10.1016/j.camwa.2010.03.034
  2. Aktaş H., Çağman N. Soft sets and soft groups. Informations Sciences 2007, 177 (13), 2726–2735. doi:10.1016/j.ins.2006.12.008
  3. Ali M.I., Shabir M., Naz M. Algebraic structures of soft sets associated with new operations. Comput. Math. Appl. 2011, 61 (9), 2647–2654. doi:10.1016/j.camwa.2011.03.011
  4. Aygünoğlu A., Aygün H. Indroduction to fuzzy soft groups. Comput. Math. Appl. 2009, 58 (6), 1279–1286. doi:10.1016/j.camwa.2009.07.047
  5. Babitha K.V., Sunil J.J. Soft set relations and functions. Comput. Math. Appl. 2010, 60 (7), 1840–1849. doi:10.1016/j.camwa.2010.07.014
  6. Çağman N., Çıtak F., Aktaş H. Soft int-group and its applications to group theory. Neural Comput. Appl. 2012, 21 (1), 151–158. doi:10.1007/s00521-011-0752-x
  7. Çağman N., Enginoğlu S., Çıtak F. Fuzzy soft set theory and its applications. Iran. J. Fuzzy Syst. 2011, 8 (3), 137–147. doi:10.22111/IJFS.2011.292
  8. Çağman N., Enginoğlu S. Soft set theory and uni-int decision making. European J. Oper. Res. 2010, 207 (2), 848–855. doi:10.1016/j.ejor.2010.05.004
  9. Çetkin V., Aygünoğlu A., Aygün H. A new approach in handling soft decision making problems. J. Nonlinear Sci. Appl. 2016, 9 (1), 231–239. doi:10.22436/jnsa.009.01.21
  10. Ergül Z.G., Yüksel S. A New Type of Soft Covering Based Rough Sets Applied to Multicriteria Group Decision Making for Medical Diagnosis. Math. Sci. Appl. E-Notes 2019, 7 (1), 28–38. doi:10.36753/mathenot.559242
  11. Herawan T., Deris M.M. Soft Decision Making for Patients Suspected Influenza. In: Taniar D., Gervasi O., Murgante B., Pardede E., Apduhan B.O. (Eds.) Computational Science and Its Applications ICCSA 2010. Lecture Notes in Computer Science, 6018. Springer, Berlin, Heidelberg, 2010. doi:10.1007/978-3-642-12179-1_34
  12. Humphreys J. Introduction to Lie Algebras and Representation Theory. Springer-Verlag, New York, 1972.
  13. İnan E., Öztürk M.A. Fuzzy soft rings and fuzzy soft ideals. Neural Comput. Appl. 2012 21 (1), 1–8. doi:10.1007/s00521-011-0550-5
  14. Jafar M.N., Khan M.R., Sultan H., Ahmed N. Interval Valued Fuzzy Soft Sets and Algorithm of IVFSS Applied to the Risk Analysis of Prostate Cancer. Int. J. Comput. Appl. 2020, 177 (38), 18–26. doi:10.5120/ijca2020919869
  15. Jafar M.N., Saqlain M., Saeed M., Abbas Q. Application of Soft-Set Relations and Soft Matrices in Medical Diagnosis using Sanchez's Approach. Int. J. Comput. Appl. 2020, 177 (32), 7–11. doi:10.5120/ijca2020919692
  16. Kovkov D.V., Kolbanov V.M., Molodtsov D.A. Soft Sets Theory-Based Optimization. J. Comput. Syst. Sci. Int. 2007, 46 (6), 872–880. doi:10.1134/S1064230707060032
  17. Liu X., Xiang D., Shum K.P., Zhan J. Soft rings related to fuzzy set theory. Hacet. J. Math. Stat. 2013, 42 (1), 51–66.
  18. Liu Z., Qin K., Pei Z. A Method for Fuzzy Soft Sets in Decision-Making Based on an Ideal Solution. Symmetry 2017, 9-10 (246), 1–22. doi:10.3390/sym9100246
  19. Maji P.K., Biswas R., Roy A.R. Fuzzy soft sets. J. Fuzzy Math. 2001, 9 (3), 589–602.
  20. Maji P.K., Biswas R., Roy A.R. Intuitionistic fuzzy soft sets. J. Fuzzy Math. 2001, 9 (3), 677–692.
  21. Maji P.K., Biswas R., Roy A.R. Soft set theory. Comput. Math. Appl. 2003, 45 (4-5), 555–562. doi:10.1016/S0898-1221(03)00016-6
  22. Maji P.K., Roy A.R., Biswas R. An Application of Soft Sets in A Decision Making Problem. Comput. Math. Appl. 2002, 44 (8-9), 1077–1083. doi:10.1016/S0898-1221(02)00216-X
  23. Majumdar P., Samanta S.K. On soft mappings. Comput. Math. Appl. 2010, 60 (9), 2666–2672. doi:10.1016/j.camwa.2010.09.004
  24. Mao J., Yao D., Wang C. Group decision making methods based on intuitionistic fuzzy soft matrices. Appl. Math. Model. 2013 37 (9), 6425–6436. doi:10.1016/j.apm.2013.01.015
  25. Molodtsov D. Soft set theory-first result. Comput. Math. Appl. 1999, 37 (4-5), 19–31. doi:10.1016/S0898-1221(99)00056-5
  26. Park C.H., Jun Y.B., Öztürk M.A. Soft WS-Algebras. Commun. Korean Math. Soc. 2008, 23 (3), 313–324. doi:10.4134/CKMS.2008.23.3.313
  27. Pawlak Z. Rough sets. Int. J. Comput. Inform. Sci. 1982, 11 (5), 341–356. doi:10.1007/BF01001956
  28. Riaz M., Çıtak F., Wali N., Mushtaq A. Roughness and Fuzziness Associated with Soft Multisets and Their Application to MADM. J. New Theory 2020, 31, 1–19.
  29. Sarıtaş I., Allahverdi N., Sert U. A fuzzy approach for determination of prostate cancer. IJISAE 2013, 1 (1), 1?7. doi:10.18201/IJISAE.26486
  30. Sezgin A. A New View on AG-Groupoid Theory via Soft Sets for Uncertainty Modeling. Filomat 2018, 32 (8), 2995–3030. doi:10.2298/FIL1808995S
  31. Sun B., Ma W. Soft fuzzy rough sets and its applications in decision making. Artif. Intell. Rev. 2014, 41 (1), 67–80. doi:10.1007/s10462-011-9298-7
  32. Sun Q.M., Zhang Z.L., Liu J. Soft sets and soft modules. In: Wang G., Li T., Grzymala-Busse J.W., Miao D., Skowron A., Yao Y. (Eds.) Rough Sets and Knowledge Technology. RSKT 2008. Lecture Notes in Computer Science, 5009. Springer, Berlin, Heidelberg. doi.org:10.1007/978-3-540-79721-0_56
  33. Yang C.F. Fuzzy soft semigroups and fuzzy soft ideals. Comput. Math. Appl. 2011, 61 (2), 255–261. doi:10.1016/j.camwa.2010.10.047
  34. Yüksel S., Dizman T., Yıldızdan G., Sert U. Application of soft sets to diagnose the prostate cancer risk. J. Inequal. Appl. 2013, 229 (1), 1–11. doi:10.1186/1029-242X-2013-229
  35. Zadeh L.A. Fuzzy Sets. Information and Control 1965, 8 (3), 338–353. doi:10.1016/S0019-9958(65)90241-X
  36. Zare T., Jafarpour M., Çitak F., Aghabozorgi H. Soft intersection hyperstructures: Application in Krasner hyperrings. J. Intell. Fuzzy Syst. 2019, 37 (6), 8289–8297. doi:10.3233/JIFS-190791
  37. Zhan J., Jun Y.B. Soft BL-algebras based on fuzzy sets. Comput. Math. Appl. 2010, 59 (6), 2037–2046. doi:10.1016/j.camwa.2009.12.008