Combined Framework for Type-2 Neutrosophic Number Multiple-Attribute Decision-Making and Applications to Quality Evaluation of Digital Agriculture Park Information System

A digital agriculture park refers to an agricultural production and organizational unit of a certain scale where digital technology is used to optimize the agricultural supply chain. It enhances park management and service levels, achieving a new development model characterized by safe, low-carbon, high-quality, high-yield, precise, and efficient production, management, service, and operation. The quality evaluation of digital agriculture park information system is a multiple-attribute decision-making (MADM). Currently, the Exponential TODIM (ExpTODIM) and TOPSIS was put forward MADM. The Type-2 neutrosophic numbers (T2NNs) are employed to portray fuzzy information during the quality evaluation of digital agriculture park information system. In this works, the Type-2 neutrosophic number Exponential TODIM-TOPSIS (T2NN-ExpTODIM-TOPSIS) approach is put forward MAGDM under T2NNs. Finally, numerical study for quality evaluation of digital agriculture park information system is determined to demonstrate the T2NN-ExpTODIM-TOPSIS approach. The major research motivation is cultivated: (1) ExpTODIM and TOPSIS approach was enhanced under IFSs; (2) Entropy is put forward weight numbers in light with score values along with T2NNs; (3) T2NN-ExpTODIM-TOPSIS is put forward the MADM along with T2NNs; (4) numerical example for quality evaluation of digital agriculture park information system and different comparative analysis is put forward the validity of T2NN-ExpTODIM-TOPSIS.

@article{Ji2024,
  title     = {Combined Framework for Type-2 Neutrosophic Number Multiple-Attribute Decision-Making and Applications to Quality Evaluation of Digital Agriculture Park Information System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {8},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Wei Ji and Ning Sun and Botao Cao and Xichan Mu},
  doi       = {10.14569/IJACSA.2024.0150872},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150872}
}