International Journal of Approximate Reasoning, Volume 160

Volume 160, September 2023

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

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  Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki:
  A general framework for personalising post hoc explanations through user knowledge integration. 108944

Uncertain data

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  Sergio Abriola, Santiago Cifuentes, Maria Vanina Martinez, Nina Pardal, Edwin Pin:
  An epistemic approach to model uncertainty in data-graphs. 108948

Rough sets and three-way decision

• 
  Xia Ji, Jie Li, Sheng Yao, Peng Zhao:
  Attribute reduction based on fusion information entropy. 108949

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

• 
  Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
  Multi-dimensional Bayesian network classifiers for partial label ranking. 108950

Uncertainty propagation

• 
  Nicholas Gray, Marco de Angelis, Scott Ferson:
  Towards an automatic uncertainty compiler. 108951

Random sets and belief functions

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  Bernhard Schmelzer:
  Random sets, copulas and related sets of probability measures. 108952

Fuzzy sets and systems

• 
  Jirí Mockor:
  Closure theory for semirings-valued fuzzy sets with applications to new fuzzy structures. 108953

Bayesian networks

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  Marco Grzegorczyk:
  Being Bayesian about learning Gaussian Bayesian networks from incomplete data. 108954

Argumentation

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  Diego S. Orbe Leiva, Sebastian Gottifredi, Alejandro Javier García:
  Automatic knowledge generation for a persuasion dialogue system with enthymemes. 108963

Random sets and belief functions

• 
  Fei Gao, Wenhao Bi:
  A fast belief rule base generation and reduction method for classification problems. 108964

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

• 
  Enrique Valero-Leal, Concha Bielza, Pedro Larrañaga, Silja Renooij:
  Efficient search for relevance explanations using MAP-independence in Bayesian networks. 108965

Rough sets and three-way decision

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  Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu:
  Bi-directional adaptive neighborhood rough sets based attribute subset selection. 108966

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

• 
  Prakash P. Shenoy:
  Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach. 108967

Fuzzy sets and systems

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  Xiaoyu Zhang, Tengfei Zhang, Yudi Zhang, Fumin Ma:
  Improved interval type-2 fuzzy K-means clustering based on adaptive iterative center with new defuzzification method. 108968

Bayesian networks

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  Abdenebi Rouigueb, Fethi Demim, Badis Djamaa, Mohamed Maiza, Walid Cherifi, Abdenour Amamra:
  Interval-based reasoning over continuous variables using independent component analysis and Bayesian networks. 108970

Rough sets and three-way decision

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  Xiaofeng Tan, Can Gao, Jie Zhou, Jiajun Wen:
  Three-way decision-based co-detection for outliers. 108971

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

• 
  Giulianella Coletti, Davide Petturiti, Barbara Vantaggi:
  Consequences of the minimum specificity principle on conditioning and on independence in possibility theory. 108972

Rough sets and three-way decision

• 
  Xue Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
  Three-way decision-based noise correction for crowdsourcing. 108973
• 
  Yan Li, Xiaoxue Wu, Xizhao Wang:
  Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping. 108974

Random sets and belief functions

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  Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy:
  On conditional belief functions in directed graphical models in the Dempster-Shafer theory. 108976