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International Journal of Approximate Reasoning, Volume 136
Volume 136, September 2021
- Peng He, Xue-ping Wang:
Constructing uninorms on bounded lattices by using additive generators. 1-13
- Stefano Bonzio, Andrea Loi:
Probability over Płonka sums of Boolean algebras: States, metrics and topology. 14-35
- Sadik Bayhan:
Textural dependency and concept lattices. 36-65
- Mohammad Ali Javidian, Marco Valtorta:
A decomposition-based algorithm for learning the structure of multivariate regression chain graphs. 66-85 - Hirbod Assa, Alexander Zimper:
When a combination of convexity and continuity forces monotonicity of preferences. 86-109
- József Dombi, Michal Baczynski:
On the distributivity of fuzzy implications and the weighted S-implications. 110-131 - Yafei Cheng, Bin Zhao:
N-vertical generated implications and their distributivities over t-norms and t-conorms. 132-149
- Andrea Campagner, Davide Ciucci, Eyke Hüllermeier:
Rough set-based feature selection for weakly labeled data. 150-167
- Angelo Gilio, Giuseppe Sanfilippo:
Compound conditionals, Fréchet-Hoeffding bounds, and Frank t-norms. 168-200
- Jing Guo, Wei Lu, Jianhua Yang, Xiaodong Liu:
A rule-based granular model development for interval-valued time series. 201-222
- Pierpaolo D'Urso, Luis Angel García-Escudero, Livia De Giovanni, Vincenzina Vitale, Agustín Mayo-Íscar:
Robust fuzzy clustering of time series based on B-splines. 223-246
- Jun Liu, Rosa M. Rodríguez, Hui Wang:
Special issue on Knowledge Enhanced Data Analytics for Autonomous Decision Making (KEDA for DM). 247-248
- Remi Wieten, Floris Bex, Henry Prakken, Silja Renooij:
Information graphs and their use for Bayesian network graph construction. 249-280
- Chengmao Wu, Xue Zhang:
A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation. 281-305
- Andrea Capotorti, Barbara Vantaggi, Davide Petturiti:
Special issue on Reasoning under Partial Knowledge. 306-307
- Fábio Gagliardi Cozman, Hugo Neri Munhoz:
Some thoughts on knowledge-enhanced machine learning. 308-324
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