Approaches that take into account interactions between parameters: pure (fuzzy) soft sets

References

• J.C.R. Alcantud, A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set, Inf. Fusion. 29 (2016), pp. 142–148.
   Web of Science ®Google Scholar
• S. Al Ghour and W. Hamed, On two classes of soft sets in soft topological spaces, Symmetry 12(2) (2020), pp. 265.
   Google Scholar
• T.M. Al-shami, Soft somewhere dense sets on soft topological spaces, Commun. Korean Math. Soc.33(4) (2018), pp. 1341–1356.
   Web of Science ®Google Scholar
• T.M. Al-shami and M.E. El-Shafei, Two types of separation axioms on supra soft topological spaces, Demonstratio Math. 52(1) (2019), pp. 147–165.
   Web of Science ®Google Scholar
• T.M. Al-shami, L.D. Kočinac and B.A. Asaad, Sum of soft topological spaces, Mathematics 8(6) (2020), pp. 990.
   Web of Science ®Google Scholar
• S. Bayramov and C. Gunduz, A new approach to separability and compactness in soft topological spaces, TWMS J. Pure Appl. Math. 9(21) (2018), pp. 82–93.
   Google Scholar
• H. Bordbar, S.Z. Song, M.R. Bordbar and Y.B. Jun, Fuzzy soft set theory with applications in hyper BCK-algebras, J. Int. Fuzzy Syst. 38(2) (2020), pp. 1789–1797.
   Web of Science ®Google Scholar
• N. Cagman, S. Enginoglu and F. Citak, Fuzzy soft set theory and its applications, Iran. J. Fuzzy Syst.8(3) (2011), pp. 137–147.
   Web of Science ®Google Scholar
• O. Dalkılıç, A novel approach to soft set theory in decision-making under uncertainty, Int. J. Comput. Math. (2021), pp. 1–11. Available at https://doi.org/https://doi.org/10.1080/00207160.2020.1868445.
   Web of Science ®Google Scholar
• O. Dalkılıç, A decision-making approach to reduce the margin of error of decision makers for bipolar soft set theory, Int. J. Syst. Sci. (2021), pp. 1–10. Available at https://doi.org/https://doi.org/10.1080/00207721.2021.1949644.
   Web of Science ®Google Scholar
• O. Dalkılıç, An application of VFPFSS's in decision making problems, J. Polytechnic (2021). Available at https://doi.org/https://doi.org/10.2339/politeknik.758474.
   Google Scholar
• O. Dalkılıç, Relations on neutrosophic soft set and their application in decision making, J. Appl. Math. Comput. 67 (2021), pp. 257–273.
   Web of Science ®Google Scholar
• O. Dalkılıç, Generalization of neutrosophic parametrized soft set theory and its applications, J. Polytechnic (2021). Available at https://doi.org/https://doi.org/10.2339/politeknik.783237.
   Google Scholar
• O. Dalkılıç and N. Demirtaş, Bipolar fuzzy soft D-metric spaces, Commun. Fac. Sci. Univ. Ankara Ser. A1 Math. Stat. 70(1) (2021), pp. 64–73.
   Google Scholar
• O. Dalkılıç and N. Demirtaş, VFP-soft sets and its application on decision making problems, J. Polytechnic (2021). Available at https://doi.org/https://doi.org/10.2339/politeknik.685634.
   Google Scholar
• 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.
   Web of Science ®Google Scholar
• M.E. El-Shafei, M. Abo-Elhamayel and T.M. Al-shami, Further notions related to new operators and compactness via supra soft topological spaces, Int. J. Adv. Math. 1 (2019), pp. 44–60.
   Google Scholar
• S. Enginoğlu, A.Y. Murat, N. Çağman and V. Tolun, Classification of the monolithic columns produced in troad and mysia region ancient granite quarries in northwestern anatolia via soft decision-making, Bilge Int. J. Sci. Technol. Res. 3 (2019), pp. 21–34.
   Google Scholar
• J. Ghosh, D. Mandal and T.K. Samanta, Soft prime and semiprime int-ideals of a ring, J. AIMS Math.5(1) (2020), pp. 732–745.
   Web of Science ®Google Scholar
• X. Guan, Y. Li and F. Feng, A new order relation on fuzzy soft sets and its applications, Soft. Comput.17 (2013), pp. 63–70.
   Web of Science ®Google Scholar
• H. Kamacı, Introduction to N-soft algebraic structures, Turk. J. Math. 44(6) (2020), pp. 2356–2379.
   Web of Science ®Google Scholar
• A. Khan and Y. Zhu, A novel approach to parameter reduction of fuzzy soft set, IEEE Access 7 (2019), pp. 128956–128967.
   Web of Science ®Google Scholar
• Z. Kong, J. Ai, L. Wang, P. Li, L. Ma and F. Lu, New normal parameter reduction method in fuzzy soft set theory, IEEE Access 7 (2018), pp. 2986–2998.
   Web of Science ®Google Scholar
• Z. Kong, J. Zhao, Q. Yang, J. Ai and L. Wang, Parameter reduction in fuzzy soft set based on whale optimization algorithm, IEEE Access 8 (2020), pp. 217268–217281.
   Web of Science ®Google Scholar
• P.K. Maji, R. Biswas and A.R. Roy, Fuzzy soft sets, J. Fuzzy Math. 9 (3) (2001), pp. 589–602.
   Google Scholar
• D. Molodtsov, Soft set theory-first results, Comput. Math. Appl. 37 (1999), pp. 19–31.
   Web of Science ®Google Scholar
• A.S. Rajput, S.S. Thakur and O.P. Dubey, Soft almost β-continuity in soft topological spaces, Int. J. Students' Res. Technol. Manag. 8(2) (2020), pp. 06–14.
   Google Scholar
• D.K. Sut, An application of fuzzy soft relation in decision making problems, Int. J. Math. Trends Technol. 3(2) (2012), pp. 51–54.
   Google Scholar
• A. Ullah, I. Ahmad, F. Hayat, F. Karaaslan and M. Rashad, Soft intersection Abel-Grassmann's groups J. Hyperstructures 7(2) (2019), pp.149–173.
   Google Scholar
• Z. Wang, W. Wang, D. Ma, X. Guo, J. Huan and L. Cheng, Coupling model of fuzzy soft set and bayesian method to forecast internal defects of ancient wooden structures based on nondestructive test, bioresources 15(1) (2020), pp. 1134–1153.
   Web of Science ®Google Scholar
• X. Yang, T.Y. Lin, J. Yang, Y. Li and D. Yu, Combination of interval-valued fuzzy set and soft set, Comput. Math. Appl. 58(3) (2009), pp. 521–527.
   Web of Science ®Google Scholar
• L.A. Zadeh, Fuzzy sets, Inf. Control 8(1965), pp. 338–353.
   Web of Science ®Google Scholar
• J. Zhan and J.C.R. Alcantud, A novel type of soft rough covering and its application to multicriteria group decision making, Artif. Intell. Rev. 52(4) (2019), pp. 2381–2410.
   Web of Science ®Google Scholar