@article{937297,
      note = {International conference proceedings.},
      author = {Lesot, Marie-Jeanne, and Vieira, Susana. and Reformat,  Marek. and Carvalho, Joao Paulo. and Wilbik, Anna. and  Bouchon-Meunier, B. and Yager, Ronald R.,},
      url = {http://library.usi.edu/record/937297},
      title = {Information processing and management of uncertainty in  knowledge-based systems : 18th International Conference,  IPMU 2020, Lisbon, Portugal, June 15-19, 2020,  Proceedings., Part I /. International Conference on  Information Processing and Management of Uncertainty in  Knowledge-Based Systems},
      publisher = {Springer,},
      abstract = {This three volume set (CCIS 1237-1239) constitutes the  proceedings of the 18th International Conference on  Information Processing and Management of Uncertainty in  Knowledge-Based Systems, IPMU 2020, in June 2020. The  conference was scheduled to take place in Lisbon, Portugal,  at University of Lisbon, but due to COVID-19 pandemic it  was held virtually. The 173 papers were carefully reviewed  and selected from 213 submissions. The papers are organized  in topical sections: homage to Enrique Ruspini; invited  talks; foundations and mathematics; decision making,  preferences and votes; optimization and uncertainty; games;  real world applications; knowledge processing and creation;  machine learning I; machine learning II; XAI; image  processing; temporal data processing; text analysis and  processing; fuzzy interval analysis; theoretical and  applied aspects of imprecise probabilities; similarities in  artificial intelligence; belief function theory and its  applications; aggregation: theory and practice;  aggregation: pre-aggregation functions and other  generalizations of monotonicity; aggregation: aggregation  of different data structures; fuzzy methods in data mining  and knowledge discovery; computational intelligence for  logistics and transportation problems; fuzzy implication  functions; soft methods in statistics and data analysis;  image understanding and explainable AI; fuzzy and  generalized quantifier theory; mathematical methods towards  dealing with uncertainty in applied sciences; statistical  image processing and analysis, with applications in  neuroimaging; interval uncertainty; discrete models and  computational intelligence; current techniques to model,  process and describe time series; mathematical fuzzy logic  and graded reasoning models; formal concept analysis, rough  sets, general operators and related topics; computational  intelligence methods in information modelling,  representation and processing.},
      doi = {https://doi.org/10.1007/978-3-030-50},
      recid = {937297},
      pages = {1 online resource (779 pages).},
      address = {Cham :},
      year = {2020},
}