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Publication search results
found 24 matches
- 2019
- Pietro Baroni, Antonio Rago
, Francesca Toni
:
From fine-grained properties to broad principles for gradual argumentation: A principled spectrum. Int. J. Approx. Reason. 105: 252-286 (2019) - Alessio Benavoli
, Alessandro Facchini
, Dario Piga
, Marco Zaffalon
:
Sum-of-squares for bounded rationality. Int. J. Approx. Reason. 105: 130-152 (2019) - Giulianella Coletti, Davide Petturiti
, Barbara Vantaggi
:
Models for pessimistic or optimistic decisions under different uncertain scenarios. Int. J. Approx. Reason. 105: 305-326 (2019) - Graçaliz Pereira Dimuro
, Benjamín R. C. Bedregal
, Javier Fernández
, Mikel Sesma-Sara
, Jesus M. Pintor
, Humberto Bustince
:
The law of O-conditionality for fuzzy implications constructed from overlap and grouping functions. Int. J. Approx. Reason. 105: 27-48 (2019) - Anthony Di Franco:
Information-gain computation in the Fifth system. Int. J. Approx. Reason. 105: 386-395 (2019) - Chao Fu, Min Xue, Dong-Ling Xu, Shanlin Yang:
Selecting strategic partner for tax information systems based on weight learning with belief structures. Int. J. Approx. Reason. 105: 66-84 (2019) - Sang-Eon Han:
Roughness measures of locally finite covering rough sets. Int. J. Approx. Reason. 105: 368-385 (2019) - Maja H. Kirkeby
, Henning Christiansen
:
Confluence and convergence modulo equivalence in probabilistically terminating reduction systems. Int. J. Approx. Reason. 105: 217-228 (2019) - Weiwei Li, Xiuyi Jia, Lu Wang, Bing Zhou:
Multi-objective attribute reduction in three-way decision-theoretic rough set model. Int. J. Approx. Reason. 105: 327-341 (2019) - Guilong Liu, Zheng Hua
:
A general reduction method for fuzzy objective relation systems. Int. J. Approx. Reason. 105: 241-251 (2019) - Juan Lu, Deyu Li, Yan-Hui Zhai, Hexiang Bai:
Belief and plausibility functions of type-2 fuzzy rough sets. Int. J. Approx. Reason. 105: 194-216 (2019) - Xi-Ao Ma
, Xue Rong Zhao
:
Cost-sensitive three-way class-specific attribute reduction. Int. J. Approx. Reason. 105: 153-174 (2019) - Mariela Morveli Espinoza
, Juan Carlos Nieves, Ayslan Trevizan Possebom, Josep Puyol-Gruart
, Cesar Augusto Tacla
:
An argumentation-based approach for identifying and dealing with incompatibilities among procedural goals. Int. J. Approx. Reason. 105: 1-26 (2019) - Jin Qian
, Caihui Liu, Xiaodong Yue:
Multigranulation sequential three-way decisions based on multiple thresholds. Int. J. Approx. Reason. 105: 396-416 (2019) - Willy Arthur Silva Reis, Leliane Nunes de Barros, Karina Valdivia Delgado:
Robust topological policy iteration for infinite horizon bounded Markov Decision Processes. Int. J. Approx. Reason. 105: 287-304 (2019) - Damjan Skulj
:
Errors bounds for finite approximations of coherent lower previsions on finite probability spaces. Int. J. Approx. Reason. 105: 98-111 (2019) - Jean-Louis Stilgenbauer
, Jean Baratgin
:
Assessing the accuracy of diagnostic probability estimation: Evidence for defeasible modus ponens. Int. J. Approx. Reason. 105: 229-240 (2019) - Thomas Weiler
, Edwin Lughofer:
Approximation of incoherent probabilities. Int. J. Approx. Reason. 105: 342-355 (2019) - Yan-Xue Wu
, Xue-Yang Min, Fan Min
, Min Wang:
Cost-sensitive active learning with a label uniform distribution model. Int. J. Approx. Reason. 105: 49-65 (2019) - Yang Xiang
:
Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks. Int. J. Approx. Reason. 105: 175-193 (2019) - Xibei Yang, Shaochen Liang
, Hualong Yu
, Shang Gao, Yuhua Qian:
Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. 105: 112-129 (2019) - Omolbanin Yazdanbakhsh, Scott Dick:
FANCFIS: Fast adaptive neuro-complex fuzzy inference system. Int. J. Approx. Reason. 105: 417-430 (2019) - Yuebing Zhang, Duoqian Miao, Jiaqi Wang, Zhifei Zhang
:
A cost-sensitive three-way combination technique for ensemble learning in sentiment classification. Int. J. Approx. Reason. 105: 85-97 (2019) - Hongyun Zhang, Ting Zhang, Peipei Wang, Zhihua Wei:
Multi-granularity principal curves extraction based on improved spectral clustering of complex distribution data. Int. J. Approx. Reason. 105: 356-367 (2019)
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