@revista_internacional{1041,
  keywords = {Multi-criteria sorting, uncertainty, Consensus, Bounded rationality},
  author = {Xiao-Hong Pan and Shi-Fan He and Ying-Ming Wang and Luis Martínez},
  title = {An ExpTODIM based multi-criteria sorting method under uncertainty},
  abstract = {Sorting problem has become one of the most common Multi-Criteria Decision-Making (MCDM) problems in real-life scenarios. In classical multi-criteria sorting methods, the input data are required to be precisely expressed by quantitative and crisp values. However, due to the inherent uncertainty of real-life problems, crisp values may not be enough to model the decision information. In addition, while multi-criteria sorting methods often utilize group intelligence, they seldom address the challenges of Consensus Reaching Processes (CRP) as non-cooperative behaviors or human bounded rationality, in spite of they are common challenges in MCDM. In such a context, this paper develops a novel multi-criteria sorting method to model the uncertainty, manage the CRP as well as capture the human bounded rationality, and then obtain better decision solutions by considering these issues. An illustrative numerical example is presented to demonstrate the effectiveness and applicability of the proposed method. The results highlight the potential of the proposed method in addressing the multi-criteria sorting problems with uncertain and imprecise input information under bounded rationality hypothesis. Comparative analysis and sensitivity analysis are also conducted to show the advantages and robustness of the current proposal, respectively.},
  year = {2026},
  journal = {Information Fusion},
  volume = {125},
  pages = {103519},
  issn = {1566-2535},
  url = {https://www.sciencedirect.com/science/article/pii/S1566253525005913},
  doi = {https://doi.org/10.1016/j.inffus.2025.103519},
}