International Journal of Approximate Reasoning, Volume 104

Volume 104, January 2019

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  Jianbing Ma:
  A correspondence between belief function combination and knowledge base merging. 1-8

Special Issue on Uncertainty in Granular Computing

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  Can Gao, Zhihui Lai, Jie Zhou, Jiajun Wen, Wai Keung Wong:
  Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction. 9-24
• 
  Hong Zhao, Shenglong Yu:
  Cost-sensitive feature selection via the ℓ_{2, 1}-norm. 25-37

Special issue on Advances in Belief Functions and Their Applications

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  Gai-Ling Li, Zhi-Jie Zhou, Changhua Hu, Lei-Lei Chang, Hongtao Zhang, Chuanqiang Yu:
  An optimal safety assessment model for complex systems considering correlation and redundancy. 38-56

Special Issue on the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2017)

• 
  Stefano Aguzzoli, Matteo Bianchi, Brunella Gerla, Diego Valota:
  Free algebras, states and duality for the propositional Gödel_Δ and Drastic Product logics. 57-74

Special Issue on New Trend in Aggregation and Fusion of Information

• 
  Jin Hee Yoon, DeokHwan Kyeong, Kisung Seo:
  A hybrid method based on F-transform for robust estimators. 75-83

Special Issue on Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ?17)

• 
  Jasper De Bock:
  Independent natural extension for infinite spaces. 84-107

Special Issue on Uncertainty in Granular Computing

• 
  Xin Yang, Tianrui Li, Hamido Fujita, Dun Liu:
  A sequential three-way approach to multi-class decision. 108-125

Rough sets

• 
  Jingqian Wang, Xiaohong Zhang:
  Matrix approaches for some issues about minimal and maximal descriptions in covering-based rough sets. 126-143

Corrigendum

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  Sebastia Massanet, Jordi Recasens, Joan Torrens:
  Corrigendum to "Fuzzy implication functions based on powers of continuous t-norms" [Int. J. Approx. Reason. 83 (2017) 265-279]. 144-147

Special Issue on Uncertainty in Granular Computing

• 
  Yu Fang, Fan Min:
  Cost-sensitive approximate attribute reduction with three-way decisions. 148-165
• 
  Jennifer Vandoni, Emanuel Aldea, Sylvie Le Hégarat-Mascle:
  Evidential query-by-committee active learning for pedestrian detection in high-density crowds. 166-184

Probabilistic programming

• 
  Marco Cox, Thijs van de Laar, Bert de Vries:
  A factor graph approach to automated design of Bayesian signal processing algorithms. 185-204

Special Issue on Defeasible and Ampliative Reasoning

• 
  Guido Governatori, Francesco Olivieri, Matteo Cristani, Simone Scannapieco:
  Revision of defeasible preferences. 205-230