A Fuzzy Soft Set Theoretic Approach in Decision Making of Covid-19 Risk in Different Regions
In the present paper, we apply the theory of fuzzy soft sets to solve a decision making problem related to Covid-19. We give an example which shows that the method can be successfully applied to the burning problem of Covid-19 that contains uncertainties and find result regarding to the risk of Covid-19 in particular region.
B. Ahmad and A. Kharal, On fuzzy soft sets, Advances in Fuzzy System 2009 (2009), Article ID 586507, DOI: 10.1155/2009/586507.
K.T Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20 (1986), 87 – 96, DOI: 10.1016/S0165-0114(86)80034-3.
N.K. Borah and T.J. Neog, Gradation of NGO’s role in rural development: A fuzzy soft set theoretic approach, International Journal of Computer and Organization Trends 2(4) (2012), 11 – 13, http://www.ijcotjournal.org/archive/ijcot-v2i4p303.
N. Çagman and S. Enginoglu, Soft matrix theory and its decision making, Computers & Mathematics with Applications 59 (2010), 3308 – 3314, DOI: 10.1016/j.camwa.2010.03.015.
A. Chaudhary, K. De and D. Chatterjee, Solution of the decision making problems using fuzzy soft relations, arXiv:1304.7238 (cs), https://arxiv.org/ftp/arxiv/papers/1304/1304.7238.pdf.
W.-L. Gau and D.J. Buehrer, Vague sets, IEEE Transactions on Systems, Man and Cybernetics 23(2) (1993), 610 – 614, DOI: 10.1109/21.229476.
G.J. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic - Theory and Applications, (Book) Chapter 1, Section 1.4 and Chapter 3, Article 3.2, https://philpapers.org/rec/KLIFSA-2.
T.Y. Lin, A set theory for soft computing, a unified view of fuzzy sets via neighborhoods, in Proceeding of 1996 IEEE International Conference on Fuzzy Systems, New Orleans, LA, September (1996), 8 – 11, DOI: 10.1109/FUZZY.1996.552338.
P.K. Maji, R. Biswas and A.R. Roy, Soft set theory, Computers & Mathematics with Applications 45 (2003), 555 – 562, DOI: 10.1016/S0898-1221(03)00016-6.
P.K. Maji, A neutrosophic soft approach to a decision making problem, Annuals of Fuzzy Mathematics and informatics 3(2) (April 2012), 313 – 319, http://www.afmi.or.kr/papers/2012/Vol-03_No-02/AFMI-3-2(313-319)-J-110718R1/AFMI-3-2(313-319)-J-110718R1.pdf.
P.K. Maji, A.R. Roy and R. Biswas, An application of soft set in decision making problem, Computers & Mathematics with Applications 44 (2002), 1077 – 1083, DOI: 10.1016/S0898-1221(02)00216-X.
P.K. Maji, A.R. Roy and R. Biswas, Fuzzy soft sets, Journal of Fuzzy Mathematics 9(3) (2001), 589 – 602.
D.A. Molodtsov, Soft set theory — first result, Computers and Mathematics with Applications 37 (1999), 19 – 31, DOI: 10.1016/S0898-1221(99)00056-5.
T.J. Neog and D.K. Sut, A new approach to the theory of soft sets, International Journal of Computer Applications 32(2) (2011), 1 – 6, https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.259.1043&rep=rep1&type=pdf.
Z. Pawlak, Rough sets, International Journal of Computer & Information Sciences 11 (1982), 341 – 356, DOI: 10.1007/BF01001956.
L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965), 338 – 353, DOI: 10.1016/S0019-9958(65)90241-X.
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