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International Journal of Approximate Reasoning, Volume 151
Volume 151, December 2022
- Bingzhen Sun, Xinrui Zhang, Chang Qi, Xiaoli Chu:
Neighborhood relation-based variable precision multigranulation Pythagorean fuzzy rough set approach for multi-attribute group decision making. 1-20
- Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld, Rafael Bassi Stern:
Learning and total evidence with imprecise probabilities. 21-32
- Jon Lachmann, Geir Storvik, Florian Frommlet, Aliaksandr Hubin:
A subsampling approach for Bayesian model selection. 33-63 - Manuele Leonelli, Eva Riccomagno:
A geometric characterization of sensitivity analysis in monomial models. 64-84
- Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue:
Parameterized maximum-entropy-based three-way approximate attribute reduction. 85-100
- Alessio Zanga, Elif Ozkirimli, Fabio Stella:
A Survey on Causal Discovery: Theory and Practice. 101-129
- Juan Carlos Teze, Lluís Godo, Gerardo I. Simari:
An approach to improve argumentation-based epistemic planning with contextual preferences. 130-163
- Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy:
Entropy for evaluation of Dempster-Shafer belief function models. 164-181 - Pierre Pomeret-Coquot, Hélène Fargier, Érik Martin-Dorel:
Games of incomplete information: A framework based on belief functions. 182-204
- Leonardo Cella, Ryan Martin:
Direct and approximately valid probabilistic inference on a class of statistical functionals. 205-224
- Christophe Labreuche:
Explanation with the Winter value: Efficient computation for hierarchical Choquet integrals. 225-250
- Tingquan Deng, Yang Huang, Ge Yang, Changzhong Wang:
Pointwise mutual information sparsely embedded feature selection. 251-270
- Qian Guo, Yuhua Qian, Xinyan Liang:
Corrigendum to "GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy" [Int. J. Approx. Reason. 143 (2022) 78-101]. 271
- Floris Persiau, Jasper De Bock, Gert de Cooman:
On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness. 272-291
- Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo:
Effective and efficient structure learning with pruning and model averaging strategies. 292-321
- Kuang Zhou, Mei Guo, Arnaud Martin:
Evidential prototype-based clustering based on transfer learning. 322-343
- Chun Yong Wang, Rong Tao Wu, Bo Zhang:
Notes on "On (O, G)-fuzzy rough sets based on overlap and grouping functions over complete lattices". 344-359
- Bin Zhao, Yafei Cheng:
Natural construction method of ordinal sum implication and its distributivity. 360-388
- Dávid Gégény, László Kovács, Sándor Radeleczki:
Lattices defined by multigranular rough sets. 413-429
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