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International Journal of Approximate Reasoning, Volume 131
Volume 131, April 2021
- Mohit Kumar
, Sukhvir Singh, Bernhard Freudenthaler:
Gaussian fuzzy theoretic analysis for variational learning of nested compositions. 1-29
- Natan T'Joens
, Jasper De Bock
, Gert de Cooman
:
A particular upper expectation as global belief model for discrete-time finite-state uncertain processes. 30-55 - Fábio Gagliardi Cozman
:
Graphoid properties of concepts of independence for sets of probabilities. 56-79
- Hui Cui, Guanli Yue, Li Zou, Xin Liu, Ansheng Deng:
Multiple multidimensional linguistic reasoning algorithm based on property-oriented linguistic concept lattice. 80-92 - Cheng Cheng, Chunping Li
, Youfang Han, Yan Zhu:
A semi-supervised deep learning image caption model based on Pseudo Label and N-gram. 93-107
- Andrey G. Bronevich, Igor N. Rozenberg:
The measurement of relations on belief functions based on the Kantorovich problem and the Wasserstein metric. 108-135
- Tommaso Flaminio:
On standard completeness and finite model property for a probabilistic logic on Łukasiewicz events. 136-150
- Anthony C. Constantinou
, Yang Liu
, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
:
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. 151-188
- Qing Chang
, Hongjun Zhou:
Distributivity of N-ordinal sum fuzzy implications over t-norms and t-conorms. 189-213
- Nguyen Duy Hung, Van-Nam Huynh
:
Revealed preference in argumentation: Algorithms and applications. 214-251
- Roman Ilin
:
Detection of rare events with uncertain outcomes. 252-267
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