Page 58 - Science and Technology For Society 5.0
P. 58

~ Science and Technology for Society 5.0 ~  21


               Hao,  F.,  Park,  D.  S.,  &  Pei,  Z.  (2018).  When  social  computing  meets  soft
                   computing: opportunities and insights. Human-centric Computing and
                   Information Sciences, 8(1), 1-18

               Harayama,  Y.  (2017).  Society  5.0:  aiming  for  a  new  human-centered
                   society. Hitachi Review, 66(6), 8-13.

               Haruna, K., Ismail, M. A., Suyanto, M., Gabralla, L. A., Bichi, A. B., Danjuma,
                   S.,  ...  Herawan,  T.  (2019).  A  soft  set  approach  for  handling  conflict
                   situation on movie selection. IEEE access, 7, 116179-116194.
               Hilbert,  M.  (2016).  Big  data  for  development:  A  review  of  promises  and
                   challenges. Development Policy Review, 34(1), 135-174. Retrieved from
                   https://escholarship.org/uc/item/4nq8z7dn
               Kamaci,  H.  (2020).  Introduction  to  N-soft  algebraic  structures. Turkish
                   Journal of Mathematics, 44(6), 2356-2379.
               Kamacı,  H.,  &  Petchimuthu,  S.  (2020).  Bipolar  N-soft  set  theory  with
                   applications. Soft Computing, 24(22), 16727-16743.
               Kamacı,  H.,  &  Saqlain,  M.  (2021).  n-ary  fuzzy  hypersoft  expert
                   sets. Neutrosophic Sets and Systems, 43, 180-211.
               Liu, J., Chen, Y., Chen, Z., & Zhang, Y. (2020). Multi-attribute decision making
                   method  based  on  neutrosophic  vague  N-soft  sets. Symmetry, 12(5),
                   853.

               Liu, Z., Alcantud, J. C. R., Qin, K., & Xiong, L. (2020). The soft sets and fuzzy
                   sets-based  neural  networks  and  application. IEEE  Access, 8,  41615-
                   41625.
               Maciejewski, M. (2017). To do more, better, faster and more cheaply: using
                   big data in public administration. International Review of Administrative
                   Sciences, 83(1), 120-135. doi:10.1177/0020852316640058
               Mohamad,  M.,  Selamat,  A.,  Krejcar,  O.,  Fujita,  H.,  &  Wu,  T.  (2020).  An
                   analysis on new hybrid parameter selection model performance over
                   big data set. Knowledge-Based Systems, 192, 105441.
   53   54   55   56   57   58   59   60   61   62   63