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M.J. Lesot, S. Vieira, M. Reformat, João P. Carvalho, Batista, F., Bernadette Bouchon-Meunier...Ronald R. Yager (2024). Information Processing and Management of Uncertainty in Knowledge-Based Systems: 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 1. Lisbon. Springer Science and Business Media LLC.
M. Lesot et al., Information Processing and Management of Uncertainty in Knowledge-Based Systems: 20th Int. Conf., IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proc., Volume 1, Lisbon, Springer Science and Business Media LLC, 2024
@proceedings{lesot2024_1742256855836, title = "", year = "2024", editor = "M.J. Lesot and S. Vieira and M. Reformat and João P. Carvalho and Batista, F. and Bernadette Bouchon-Meunier and Ronald R. Yager", volume = "1", number = "", series = "", doi = "10.1007/978-3-031-74003-9", publisher = "Springer Science and Business Media LLC", address = "Lisbon", organization = "", url = "https://link.springer.com/book/10.1007/978-3-031-74003-9" }
TY - CONF TI - Information Processing and Management of Uncertainty in Knowledge-Based Systems: 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 1 VL - 1 AU - M.J. Lesot AU - S. Vieira AU - M. Reformat AU - João P. Carvalho AU - Batista, F. AU - Bernadette Bouchon-Meunier AU - Ronald R. Yager PY - 2024 DO - 10.1007/978-3-031-74003-9 CY - Lisbon UR - https://link.springer.com/book/10.1007/978-3-031-74003-9 AB - This book is a collection of papers focused on techniques for managing uncertainty and aggregation. It provides a forum for exchanging ideas between theoreticians and practitioners in these and related areas. The papers are part of the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, which will occur in Lisbon, Portugal, from July 22 to 26, 2024. The collection describes the latest findings on topics such as advances in fuzzy systems and data analysis, optimization, scheduling via modeling uncertainty, explainability, decision-making, implications, data aggregation, and aggregation operators. A special chapter is dedicated to the memory of Michio Sugeno. The book is a valuable resource for practitioners, researchers, and graduate students who want to apply fuzzy-based techniques to real-world data analysis and management processes involving imprecision and uncertainty. ER -