International Journal of Approximate Reasoning, Volume 140

Volume 140, January 2022

Special Issue on Formal concept analysis, rough sets, and three-way decisions

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  JingTao Yao, Jesús Medina, Yan Zhang, Dominik Slezak:
  Formal concept analysis, rough sets, and three-way decisions. 1-6

Rough sets and three-way decision analysis

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  Pengfei Zhang, Tianrui Li, Chuan Luo, Guoqiang Wang:
  AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets. 7-30

Imprecise probability and random sets

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  Brennan Bean, Yan Sun, Marc Maguire:
  Interval-valued kriging for geostatistical mapping with imprecise inputs. 31-51

Rough sets and three-way decision analysis

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  Md. Aquil Khan, Vineeta Singh Patel:
  A formal study of a generalized rough set model based on subset approximation structure. 52-74
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  Zhen Chen, Keyu Liu, Xibei Yang, Hamido Fujita:
  Random sampling accelerator for attribute reduction. 75-91

Special Issue on the Tenth International Conference on Probabilistic Graphical Models (PGM 2020).

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  Meihua Dang, Antonio Vergari, Guy Van den Broeck:
  Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits. 92-115

Preference learning

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  Karlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst, Eyke Hüllermeier:
  Learning context-dependent choice functions. 116-155

Rough sets and three-way decision analysis

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  Jin Qian, DaWei Tang, Ying Yu, Xibei Yang, Shang Gao:
  Hierarchical sequential three-way decision model. 156-172

Argumentation

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  Timotheus Kampik, Juan Carlos Nieves, Dov M. Gabbay:
  Ensuring reference independence and cautious monotony in abstract argumentation. 173-210

Imprecise probability and random sets

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  Renato Pelessoni, Paolo Vicig:
  Dilation properties of coherent Nearly-Linear models. 211-231

Rough sets and three-way decision analysis

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  Muhammad Akram, Ghous Ali, José Carlos R. Alcantud:
  Attributes reduction algorithms for m-polar fuzzy relation decision systems. 232-254

Imprecise probability and random sets

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  Gert de Cooman:
  Coherent and Archimedean choice in general Banach spaces. 255-281

Special issue on Time series clustering and classification.

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  Susanna Levantesi, Andrea Nigri, Gabriella Piscopo:
  Clustering-based simultaneous forecasting of life expectancy time series through Long-Short Term Memory Neural Networks. 282-297

Special Issue on the Tenth International Conference on Probabilistic Graphical Models (PGM 2020).

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  Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting:
  Conditional sum-product networks: Modular probabilistic circuits via gate functions. 298-313