International Journal of Approximate Reasoning, Volume 150

Volume 150, November 2022

Special Issue on The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21).

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  Leonardo Cella, Ryan Martin:
  Valid inferential models for prediction in supervised learning problems. 1-18

Special Issue on Uncertainty and three-way decision in data science.

• 
  Weiwei Li, Yuqing Lu, Lei Chen, Xiuyi Jia:
  Label distribution learning with noisy labels via three-way decisions. 19-34

Imprecise probability

• 
  Damjan Skulj:
  Normal cones corresponding to credal sets of lower probabilities. 35-54

Machine learning

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  Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego:
  Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. 55-82
• 
  Wei Zhao, Yuling Su, Minjie Hu, Hong Zhao:
  Hybrid ResNet based on joint basic and attention modules for long-tailed classification. 83-97

Rough sets

• 
  Di Zhang, Ping Zhu:
  Variable radius neighborhood rough sets and attribute reduction. 98-121

Special Issue on Combined Approaches of Computational Intelligence and Mathematics.

• 
  Vilém Novák, Petra Murinová, Petr Ferbas:
  Formal analysis of Peterson's rules for checking validity of syllogisms with intermediate quantifiers. 122-138

Machine learning

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  Carlos Villacampa-Calvo, Gonzalo Hernández-Muñoz, Daniel Hernández-Lobato:
  Alpha-divergence minimization for deep Gaussian processes. 139-171

Special Issue on Uncertainty and three-way decision in data science.

• 
  Tianna Zhao, Yuanjian Zhang, Duoqian Miao, Witold Pedrycz:
  Selective label enhancement for multi-label classification based on three-way decisions. 172-187

Special Issue on Extended papers from the Sixth International conference on belief functions (BELIEF 2021).

• 
  Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
  Deep evidential fusion network for medical image classification. 188-198

Special Issue on Extended papers from the Sixteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021).

• 
  Davide Petturiti, Barbara Vantaggi:
  Probability envelopes and their Dempster-Shafer approximations in statistical matching. 199-222

Rough sets

• 
  Chun Yong Wang, Sheng Nan Xu, Lijuan Wan:
  Notes on "On (I_O, O)-fuzzy rough sets based on overlap functions". 223-228

Special Issue on Uncertainty and three-way decision in data science.

• 
  Qian Hu, Keyun Qin, Lei Yang:
  A constructing approach to multi-granularity object-induced three-way concept lattices. 229-241

Multiple-criteria decision making

• 
  Jirí Mazurek, Konrad Kulakowski:
  On the derivation of weights from incomplete pairwise comparisons matrices via spanning trees with crisp and fuzzy confidence levels. 242-257

Machine learning

• 
  Jerónimo Hernández-González, Aritz Pérez:
  On the relative value of weak information of supervision for learning generative models: An empirical study. 258-272

Special Issue on Combined Approaches of Computational Intelligence and Mathematics.

• 
  Raciel Yera, Ahmad A. Alzahrani, Luis Martínez-López:
  A fuzzy content-based group recommender system with dynamic selection of the aggregation functions. 273-296

Aggregation operators

• 
  Yi-Qun Zhang, Hua-Wen Liu:
  Constructing overlap functions via multiplicative generators on complete lattices. 297-310

Special Issue on Extended papers from the Sixteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021).

• 
  Arianna Casanova, Juerg Kohlas, Marco Zaffalon:
  Information algebras in the theory of imprecise probabilities, an extension. 311-336