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ORCIDInternational Journal of Approximate Reasoning, Volume 137
Volume 137, October 2021
- Michele La Rocca
, Francesco Giordano, Cira Perna:
Clustering nonlinear time series with neural network bootstrap forecast distributions. 1-15
- Filipo Studzinski Perotto, Imen Trabelsi, Stéphanie Combettes, Valérie Camps, Nicolas Verstaevel:
Deciding when to quit the gambler's ruin game with unknown probabilities. 16-33 - Thadeu Milfont, Ivan Mezzomo, Benjamín R. C. Bedregal, Edmundo Mansilla, Humberto Bustince:
Aggregation functions on n-dimensional ordered vectors equipped with an admissible order and an application in multi-criteria group decision-making. 34-50
- Joyce Cahoon, Ryan Martin:
Generalized inferential models for censored data. 51-66
- Scott Ferson, Marco de Angelis:
Computing with confidence. 67-68
- Zenghui Wang, Ping Zhu:
Multi-attribute group three-way decision making with degree-based linguistic term sets. 69-93
- Carlos Fernandez-Basso, M. Dolores Ruiz, María José Martín Bautista:
Spark solutions for discovering fuzzy association rules in Big Data. 94-112
- Denis Deratani Mauá, Cassio Polpo de Campos:
Special Issue on Robustness in Probabilistic Graphical Models. 113
- Andrés M. Alonso, Pierpaolo D'Urso, Carolina Gamboa, Vanesa Guerrero:
Cophenetic-based fuzzy clustering of time series by linear dependency. 114-136
- Michiro Kondo:
On topologies defined by neighbourhood operators of approximation spaces. 137-145
- Huiqin Chen, Sylvie Le Hégarat-Mascle, Emanuel Aldea:
Belief functions clustering for epipole localization. 146-165
- Jingyao Duan, Xingyu Li:
Similarity of intuitionistic fuzzy sets and its applications. 166-180
- Jianxu Liu, Songsak Sriboonchitta, Aree Wiboonpongse, Thierry Denoeux:
A trivariate Gaussian copula stochastic frontier model with sample selection. 181-198
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