An Optimized Logistic Regression Model Based on the Maximum Entropy Estimation Under the Hesitant Fuzzy Environment

Chenyang Song, Liguo Wang, Zeshui Xu. An Optimized Logistic Regression Model Based on the Maximum Entropy Estimation Under the Hesitant Fuzzy Environment. International Journal of Information Technology and Decision Making, 21(1):143-167, 2022. [doi]

@article{SongWX22,
  title = {An Optimized Logistic Regression Model Based on the Maximum Entropy Estimation Under the Hesitant Fuzzy Environment},
  author = {Chenyang Song and Liguo Wang and Zeshui Xu},
  year = {2022},
  doi = {10.1142/S0219622021500371},
  url = {https://doi.org/10.1142/S0219622021500371},
  researchr = {https://researchr.org/publication/SongWX22},
  cites = {0},
  citedby = {0},
  journal = {International Journal of Information Technology and Decision Making},
  volume = {21},
  number = {1},
  pages = {143-167},
}