International Journal of Approximate Reasoning, Volume 159

Volume 159, August 2023

Fuzzy logic

• 
  Junsheng Qiao:
  R_O-implications on finite scales. 108921
• 
  Manuela Busaniche, Penélope Cordero, M. Marcos, Ricardo Oscar Rodríguez:
  An algebraic semantics for possibilistic finite-valued Łukasiewicz logic. 108924
• 
  Meng Cao, Wen Sheng Du:
  On residual implications derived from 2-uninorms. 108926

Inconsistency

• 
  Zhen Ming Ma, Wei Yang, Zeshui Xu:
  Necessity of two normalities for the priority vectors of additively consistent fuzzy preference relations with application to group decision making. 108927

Interval analysis

• 
  Luc Jaulin:
  Inner and outer characterization of the projection of polynomial equations using symmetries, quotients and intervals. 108928

Special Issue on Extended papers from the 11th International Conference of Probabilistic Graphical Models (PGM 2022);

• 
  Rafael Ballester-Ripoll, Manuele Leonelli:
  The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. 108929

Special Issue on Recent advances and trends in concept lattices and their applications

• 
  Tom Hanika, Johannes Hirth:
  Conceptual views on tree ensemble classifiers. 108930
• 
  Maximilian Felde, Maren Koyda:
  Interval-dismantling for lattices. 108931

Argumentation

• 
  Nguyen Duy Hung, Van-Nam Huynh:
  Integrated preference argumentation and applications in consumer behaviour analyses. 108938

Explainability

• 
  Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
  On computing probabilistic abductive explanations. 108939

Special Issue on Recent advances and trends in concept lattices and their applications

• 
  Pavol Sokol, L'ubomír Antoni, Ondrej Krídlo, Eva Marková, Kristína Kovácová, Stanislav Krajci:
  Formal concept analysis approach to understand digital evidence relationships. 108940

Belief functions

• 
  Marc Goerigk, Romain Guillaume, Adam Kasperski, Pawel Zielinski:
  Robust optimization with belief functions. 108941

Special Issue on Extended papers from the 12th Workshop on Uncertainty Processing (WUPES 2022)

• 
  Marco Baioletti, Andrea Capotorti:
  A further step for efficient corrections of inconsistent probabilistic data sets. 108942

Special Issue on Uncertainty, Heterogeneity, Reliability and Explainability in AI

• 
  Tommaso Flaminio, Angelo Gilio, Lluís Godo, Giuseppe Sanfilippo:
  On conditional probabilities and their canonical extensions to Boolean algebras of compound conditionals. 108943

Special Issue on Extended papers from the 11th International Conference of Probabilistic Graphical Models (PGM 2022)

• 
  Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella:
  Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers. 108945

Belief functions

• 
  Jiasen Yang, Xiao Wang, Chuanhai Liu:
  Partial conditioning for inference of many-normal-means with Hölder constraints. 108946

Formal concept analysis

• 
  Huilai Zhi, Yinan Li:
  Attribute granulation in fuzzy formal contexts based on L-fuzzy concepts. 108947