An RNN-MCDA method to support efficient and stable matching under uncertain preferences in large-scale sharing platforms.
Huagang TongJianjun ZhuPublished in: Appl. Soft Comput. (2022)
Keyphrases
- decision making
- computationally efficient
- high accuracy
- detection method
- template matching
- matching algorithm
- significant improvement
- multiple criteria
- computational cost
- pairwise
- preprocessing
- data sets
- highly efficient
- computational complexity
- high precision
- image matching
- similarity measure
- matching strategy
- feature matching
- shape matching
- recurrent neural networks
- graph matching
- segmentation method
- pattern matching
- end users
- dynamic programming
- multi objective