Information Processing and Management of Uncertainty in Knowledge-Based Systems

18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II

  • Marie-Jeanne Lesot
  • Susana Vieira
  • Marek Z. Reformat
  • João Paulo Carvalho
  • Anna Wilbik
  • Bernadette Bouchon-Meunier
  • Ronald R. Yager
Conference proceedings IPMU 2020

Part of the Communications in Computer and Information Science book series (CCIS, volume 1238)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Fuzzy Interval Analysis

    1. Front Matter
      Pages 1-1
    2. Marina Tuyako Mizukoshi, Alain Jacquemard, Weldon Alexander Lodwick
      Pages 13-27
    3. Luciano Stefanini, Laerte Sorini, Mina Shahidi
      Pages 28-42
    4. Yurilev Chalco-Cano, A. Khastan, Antonio Rufián-Lizana
      Pages 43-50
  3. Theoretical and Applied Aspects of Imprecise Probabilities

    1. Front Matter
      Pages 51-51
    2. Serafín Moral, Carlos J. Mantas, Javier G. Castellano, Joaquín Abellán
      Pages 53-66
    3. Enrique Miranda, Ignacio Montes, Paolo Vicig
      Pages 67-81
    4. Tathagata Basu, Matthias C. M. Troffaes, Jochen Einbeck
      Pages 82-95
    5. Yonatan-Carlos Carranza-Alarcon, Soundouss Messoudi, Sébastien Destercke
      Pages 96-111
    6. Sébastien Destercke, Agnès Rico, Olivier Strauss
      Pages 112-123
    7. Andrey G. Bronevich, Igor N. Rozenberg
      Pages 124-136
    8. Renato Pelessoni, Paolo Vicig
      Pages 137-150
    9. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
      Pages 151-164
    10. Jasper De Bock
      Pages 195-209
    11. Paride Antonini, Davide Petturiti, Barbara Vantaggi
      Pages 210-223
  4. Similarities in Artificial Intelligence

    1. Front Matter
      Pages 239-239
    2. Susana Díaz, Irene Díaz, Susana Montes
      Pages 241-249
    3. Charles Tijus
      Pages 250-257
    4. Giulianella Coletti, Davide Petturiti, Bernadette Bouchon-Meunier
      Pages 258-268
    5. Javad Rahnama, Eyke Hüllermeier
      Pages 269-280
  5. Belief Function Theory and Its Applications

    1. Front Matter
      Pages 281-281
    2. Alexander Lepskiy, Natalia Meshcheryakova
      Pages 283-296
    3. Didier Coquin, Reda Boukezzoula, Rihab Ben Ameur
      Pages 297-311
    4. Malika Ben Khalifa, Zied Elouedi, Eric Lefèvre
      Pages 341-353
    5. Alexandros Kaltsounidis, Isambo Karali
      Pages 354-367
    6. Jiřina Vejnarová
      Pages 382-393
    7. Lucie Jacquin, Abdelhak Imoussaten, Sébastien Destercke
      Pages 394-407
  6. Aggregation: Theory and Practice

    1. Front Matter
      Pages 409-409
    2. Anna Kolesárová, Radko Mesiar
      Pages 411-418
    3. Andrea Stupňanová, LeSheng Jin
      Pages 419-425
    4. Miroslav Hudec, Radko Mesiar
      Pages 435-446
    5. Denys Yohana Mora-Herrera, Serge Guillaume, Didier Snoeck, Orlando Zúñiga Escobar
      Pages 447-456
    6. Paul Alain Kaldjob Kaldjob, Brice Mayag, Denis Bouyssou
      Pages 457-466
    7. Helida Santos, Graçaliz P. Dimuro, Tiago C. Asmus, Giancarlo Lucca, Eduardo N. Borges, Benjamin Bedregal et al.
      Pages 481-495
    8. Juan Antonio Guevara, Daniel Gómez, José Manuel Robles, Javier Montero
      Pages 510-522
    9. Barbara Pȩkala, Jarosław Szkoła, Krzysztof Dyczkowski, Tomasz Piłka
      Pages 523-536
  7. Aggregation: Pre-aggregation Functions and Other Generalizations of Monotonicity

    1. Front Matter
      Pages 549-549
    2. Luis Garmendia, Daniel Gómez, Luis Magdalena, Javier Montero
      Pages 551-564

Other volumes

  1. 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part I
  2. Information Processing and Management of Uncertainty in Knowledge-Based Systems
    18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II
  3. 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part III

About these proceedings


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.


aggregation operator artificial intelligence computer hardware computer networks computer systems computer vision correlation analysis fuzzy control fuzzy logic fuzzy set theory fuzzy sets fuzzy systems image processing integral equations intuitionistic fuzzy sets machine learning numerical methods probability probability distribution signal processing

Editors and affiliations

  • Marie-Jeanne Lesot
    • 1
  • Susana Vieira
    • 2
  • Marek Z. Reformat
    • 3
  • João Paulo Carvalho
    • 4
  • Anna Wilbik
    • 5
  • Bernadette Bouchon-Meunier
    • 6
  • Ronald R. Yager
    • 7
  1. 1.LIP6-Sorbonne UniversityParisFrance
  2. 2.IDMEC, IST, Universidade de LisboaLisbonPortugal
  3. 3.University of AlbertaEdmontonCanada
  4. 4.INESC, IST, Universidade de LisboaLisbonPortugal
  5. 5.Eindhoven University of TechnologyEindhovenThe Netherlands
  6. 6.CNRS-Sorbonne UniversityParisFrance
  7. 7.Iona CollegeNew RochelleUSA

Bibliographic information