@revista_internacional{898,
  keywords = {Granular Computing, decision-making, Soft Computing, Bibliometric analysis},
  author = {Jindong Qin and Luis Martínez and Witold Pedrycz and Xiaoyu Ma and Yingying Liang},
  title = {An overview of granular computing in decision-making: Extensions, applications, and challenges},
  abstract = {The management of uncertainty in decision-making problems remains a very challenging and timely research issue despite many proposals. An interesting topic in this area in recent years has been Granular Computing. In this paper, we present a coherent framework for various models of information granules, using hierarchies of information for dealing with knowledge acquired and processed at different levels of abstraction. Granular Computing, a paradigm for handling higher types of uncertainty in decision analysis, is considered a new conceptual and algorithmic asset of decision-making studies and, in particular, data-driven decision-making. Most relevant studies have focused on categories of information granules, namely intervals, fuzzy sets, rough sets, and shadowed sets. To better understand this promising area, this study provides a comprehensive overview of Granular Computing for decision-making through literature analysis, enhancing a variety of extensions, applications, and challenges.},
  year = {2023},
  journal = {Information Fusion},
  volume = {98},
  pages = {101833},
  issn = {1566-2535},
  url = {https://www.sciencedirect.com/science/article/pii/S1566253523001495},
  doi = {https://doi.org/10.1016/j.inffus.2023.101833},
}