International Journal of Approximate Reasoning, Volume 142

Volume 142, March 2022

Rough sets and interval sets

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  Dávid Gégény, Sándor Radeleczki:
  Rough L-fuzzy sets: Their representation and related structures. 1-12
• 
  Xinli Niu, Zhenduo Sun, Xiangzhi Kong:
  A new type of dyad fuzzy β-covering rough set models base on fuzzy information system and its practical application. 13-30

Special Issue on Time series clustering and classification.

• 
  Bernhard Ganter:
  Notes on integer partitions. 31-40

Probabilistic reasoning

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  Damiano Azzolini, Elena Bellodi, Stefano Ferilli, Fabrizio Riguzzi, Riccardo Zese:
  Abduction with probabilistic logic programming under the distribution semantics. 41-63

Special Issue on Concept Lattices and their Applications, CLA 2020.

• 
  Radek Janostik, Jan Konecny, Petr Krajca:
  LCM from FCA point of view: A CbO-style algorithm with speed-up features. 64-80

Imprecise probabilities and possibility theory

• 
  David R. Bickel:
  Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory. 81-93

Game theory

• 
  Rafael Ballester-Ripoll:
  Tensor approximation of cooperative games and their semivalues. 94-108

Three-way decision

• 
  Yihua Zhong, Yanhua Li, Yang Yang, Tong Li, Yanlin Jia:
  An improved three-way decision model based on prospect theory. 109-129

Machine learning

• 
  Abdelhak Imoussaten, Lucie Jacquin:
  Cautious classification based on belief functions theory and imprecise relabelling. 130-146

Probabilistic reasoning

• 
  Yunlong Liu, Jianyang Zheng, Fangfang Chang:
  Learning and planning in partially observable environments without prior domain knowledge. 147-160

Special Issue on Time series clustering and classification.

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  Agostino Torti, Marta Galvani, Alessandra Menafoglio, Piercesare Secchi, Simone Vantini:
  A general bi-clustering algorithm for object data with an application to the analysis of a Lombardy railway line. 161-177
• 
  Prachi Loliencar, Giseon Heo:
  Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology. 178-195

Special Issue on Concept Lattices and their Applications, CLA 2020

• 
  Christian Jäkel, Stefan E. Schmidt:
  Optimization problems on posets with regard to formal concept analysis. 196-205

Rough sets and interval sets

• 
  Hao Ge, Chuanjian Yang:
  Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems. 206-230

Three-way decision

• 
  Yiyu Yao, Jilin Yang:
  Granular rough sets and granular shadowed sets: Three-way approximations in Pawlak approximation spaces. 231-247

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

• 
  Laura Azzimonti, Giorgio Corani, Marco Scutari:
  A Bayesian hierarchical score for structure learning from related data sets. 248-265

Rough sets and interval sets

• 
  Decui Liang, Yuanyuan Fu, Zeshui Xu:
  Novel AQM analysis approach based on similarity and dissimilarity measures of interval set for multi-expert multi-criterion decision making. 266-289

Aggregation operators

• 
  Yun-Mao Zhang, Feng Qin:
  Conditional distributivity equation of semi-uninorms over uninorms. 290-300

Lattices

• 
  Maryam Ghorani, Sunita Garhwal, Somaye Moghari:
  Lattice-valued tree pushdown automata: Pumping lemma and closure properties. 301-323

Three-way decision

• 
  Can Gao, Zhicheng Wang, Jie Zhou:
  Three-way approximate reduct based on information-theoretic measure. 324-337

Special Issue on Concept Lattices and their Applications, CLA 2020.

• 
  Alexandre Bazin, Miguel Couceiro, Marie-Dominique Devignes, Amedeo Napoli:
  Steps towards causal Formal Concept Analysis. 338-348
• 
  Radim Belohlávek, Tomas Mikula:
  Typicality: A formal concept analysis account. 349-369
• 
  Alain Gély, Miguel Couceiro, Laurent Miclet, Amedeo Napoli:
  A study of algorithms relating distributive lattices, median graphs, and Formal Concept Analysis. 370-382

Imprecise probabilities and possibility theory

• 
  Arianna Casanova, Juerg Kohlas, Marco Zaffalon:
  Information algebras in the theory of imprecise probabilities. 383-416

Machine learning

• 
  Yuling Su, Hong Zhao, Yaojin Lin:
  Few-shot learning based on hierarchical classification via multi-granularity relation networks. 417-429
• 
  Pierpaolo D'Urso, Jalal Chachi:
  OWA fuzzy regression. 430-450

Lattices

• 
  Ju-Mok Oh, Yong Chan Kim:
  Various fuzzy connections and fuzzy concepts in complete co-residuated lattices. 451-468