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A novel approach to soft set theory in decision-making under uncertainty

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Pages 1935-1945 | Received 26 Aug 2020, Accepted 02 Dec 2020, Published online: 08 Jan 2021

References

  • M.I. Ali, F. Feng, X. Liu, W.K. Min, M. Shabir, On some new operations in soft set theory, Comput. Math. Appl. 57(9) (2007), pp. 1547–1553.
  • M. Aslam, S. Abdullah, and K. Ullah, Bipolar fuzzy soft sets and its applications in decision making problem, J. Intell. Fuzzy Syst. 27(2) (2014), pp. 729–742.
  • S. Bera, S.K. Roy, F. Karaaslan, and N. Çağman, Soft congruence relation over lattice, Hacettepe J. Math. Statist. 46(6) (2017), pp. 1035–1042.
  • N. Çağman and S. Enginoğlu, Soft set theory and uni-int decision making, Eur. J. Oper. Res.207 (2010), pp. 848–855.
  • N. Çağman, F. Çıtak, and S. Enginoğlu, Fuzzy parameterized fuzzy soft set theory and its applications, Turk. J. Fuzzy Syst. 1(1) (2010), pp. 21–35.
  • N. Çağman, S. Enginoğlu, and F. Çıtak, Fuzzy soft set theory and its applications, Iran. J. Fuzzy Syst. 8(3) (2011), pp. 137–147.
  • V. Cetkin, A. Aygunoglu, and H. Aygun, A new approach in handling soft decision making problems, J. Nonlinear Sci. Appl. 9 (2016), pp. 231–239.
  • D.G. Chen, E.C.C. Tsang, D.S. Yeung, and W. Xizhao, The parameterization reduction of soft sets and its applications, Comput. Math. Appl. 49 (2005), pp. 757–763.
  • O. Dalkılıç, An application of VFPFSS's in decision making problems, J. Polytechnic. (2020). https://doi.org/10.2339/politeknik.758474.
  • O. Dalkılıç and N. Demirtaş, Bipolar soft filter, J. Univer. Math. 3(1) (2020), pp. 21–27.
  • O. Dalkılıç and N. Demirtaş, VFP-soft sets and its application on decision making problems, J. Polytechnic. (2020). https://doi.org/10.2339/politeknik.685634.
  • I. Deli and N. Çağman, Intuitionistic fuzzy parameterized soft set theory and its decision making, Appl. Soft. Comput. 28 (2015), pp. 109–113.
  • I. Deli and F. Karaaslan, Bipolar FPSS-tsheory with applications in decision making, Afr. Mat. 31 (2019), pp. 493–505.
  • I. Deli and S Karataş, Interval valued intuitionistic fuzzy parameterized soft set theory and its decision making, J. Intell. Fuzzy Syst. 30(3) (2016), pp. 2073–2082.
  • N. Demirtaş, O. Dalkılıç, Decompositions of soft α-continuity and soft Α-continuity, J. New Theory (31) (2020), pp. 86–97.
  • N. Demirtaş, S. Hussaın, and O. Dalkılıç, New approaches of inverse soft rough sets and their applications in a decision making problem, J. Appl. Math. Inform. 38(3-4) (2020), pp. 335–349.
  • K. Hayat, M.I. Ali, F. Karaaslan, B.Y. Cao, B.Y. Cao, and M.H. Shah, Design concept evaluation using soft sets based on acceptable and satisfactory levels: an integrated TOPSIS and Shannon entropy, Soft Comput. 24(3) (2020), pp. 2229–2263.
  • A.M. Irfan, F. Feng, X. Liu, W.K. Minc, and M. Shabir, On some new operations in soft set theory, Comput. Math. Appl. 57 (2009), pp. 1547–1553.
  • Y. Jiang, Y. Tang, and Q. Chen, An adjustable approach to intuitionistic fuzzy soft sets based decision making, Appl. Math. Model. 35 (2011), pp. 824–836.
  • F. Karaaslan, Soft classes and soft rough classes with applications in decision making, Math. Probl. Eng. 2016, (2016), pp. 1–11.
  • A.M. Khalil and N. Hassan, Inverse fuzzy soft set and its application in decision making, Int. J. Inf. Decis. Sci. 11(1) (2019), pp. 73–92.
  • Z. Kong, L.Q. Gao, L.F. Wang, and S. Li, The normal parameter reduction of soft sets and its algorithm, Comput. Math. Appl. 56 (2008), pp. 3029–3037.
  • P.K. Maji, A.R. Roy, and R. Biswas, An application of soft sets in a decision making problem, Comput. Math. Appl. 44 (2002), pp. 1077–1083.
  • P.K. Maji, A.R. Roy, and R. Biswas, Soft set theory, Comput. Math. Appl. 24 (2003), pp. 555–562.
  • D. Molodtsov, Soft set theory-first results, Comput. Math. Appl. 37 (1999), pp. 19–31.
  • Z. Pawlak, Rough sets, Int. J. Comput. Inf. Sci. 11 (1982), pp. 341–356.
  • X. Peng and Y. Yang, Algorithms for interval-valued fuzzy soft sets in stochastic multi-criteria decision making based on regret theory and prospect theory with combined weight, Appl. Soft Comput. 54 (2017), pp. 415–430.
  • K. Qin and Z. Hong, On soft equality, J. Comput. Appl. Math. 234(5) (2010), pp. 1347–1355.
  • P. Suebsan, Inverse int-fuzzy soft bi-ideals over semigroups, Ann. Fuzzy Math. Inform. 18(1) (2019), pp. 15–30.
  • L.A. Zadeh, Fuzzy sets, Inf. Control. 8 (1965), pp. 338–353.

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