International Journal of Approximate Reasoning, Volume 92

Volume 92, January 2018

Argumentation

• 
  Suttisak Wisadwongsa, Santi Tasena:
  Bivariate quadratic copula constructions. 1-19
• 
  Yong Su, Huawen Liu, Witold Pedrycz:
  A method to construct fuzzy implications-rotation construction. 20-31

Virtual Special Section on Belief Functions: Theory and Applications

• 
  John Klein, Sébastien Destercke, Olivier Colot:
  Idempotent conjunctive and disjunctive combination of belief functions by distance minimization. 32-48
• 
  Radim Jirousek, Prakash P. Shenoy:
  A new definition of entropy of belief functions in the Dempster-Shafer theory. 49-65

Virtual Special Section on Uncertainty Reasoning

• 
  Stefano Bistarelli, Fabio Rossi, Francesco Santini:
  A novel weighted defence and its relaxation in abstract argumentation. 66-86

Fuzzy reasoning

• 
  Bin Pang, Yi Zhao, Zhen-Yu Xiu:
  A new definition of order relation for the introduction of algebraic fuzzy closure operators. 87-96

Imprecise probabilities and belief functions

• 
  Arthur Van Camp, Gert de Cooman, Enrique Miranda:
  Lexicographic choice functions. 97-119

Argumentation

• 
  Federico Cerutti, Mauro Vallati, Massimiliano Giacomin:
  On the impact of configuration on abstract argumentation automated reasoning. 120-138

Virtual Special Section on Belief Functions: Theory and Applications

• 
  Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu:
  SELP: Semi-supervised evidential label propagation algorithm for graph data clustering. 139-154

Virtual Special Section on Uncertainty Reasoning

• 
  Santiago Cortijo, Christophe Gonzales:
  On conditional truncated densities Bayesian networks. 155-174

Rough sets

• 
  Muhammad Summair Raza, Usman Qamar:
  Feature selection using rough set-based direct dependency calculation by avoiding the positive region. 175-197

Virtual Special Section on Uncertainty Reasoning

• 
  Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
  An empirical study of Bayesian network inference with simple propagation. 198-211

Fuzzy reasoning

• 
  Yiming Tang, Witold Pedrycz:
  On the α(u, v)-symmetric implicational method for R- and (S, N)-implications. 212-231

Imprecise probabilities and belief functions

• 
  Thierry Denoeux, Shoumei Li:
  Frequency-calibrated belief functions: Review and new insights. 232-254

Rough sets

• 
  Yu-Chien Ko, Hamido Fujita:
  Evidential probability of signals on a price herd predictions: Case study on solar energy companies. 255-269

Virtual Special Section on Uncertainty Reasoning

• 
  Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
  An empirical study of testing independencies in Bayesian networks using rp-separation. 270-278

Virtual Special Section on Soft Methods in Probability and Statistics

• 
  Gil González-Rodríguez, Ana Belén Ramos-Guajardo, Ana Colubi, Ángela Blanco-Fernández:
  A new framework for the statistical analysis of set-valued random elements. 279-294

Probabilistic graphical models

• 
  Federico Schlüter, Yanela Strappa, Diego H. Milone, Facundo Bromberg:
  Blankets Joint Posterior score for learning Markov network structures. 295-320

Fuzzy reasoning

• 
  Luciano Sánchez, Inés Couso:
  A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions. 321-339

Virtual Special Section on Uncertainty Reasoning for the Web

• 
  Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito:
  Approximate classification with web ontologies through evidential terminological trees and forests. 340-362

Virtual Special Section on the Eighth International Conference on Probabilistic Graphical Models

• 
  Eunice Yuh-Jie Chen, Adnan Darwiche, Arthur Choi:
  On pruning with the MDL Score. 363-375

Dependence modeling

• 
  Zheng Wei, Daeyoung Kim:
  On multivariate asymmetric dependence using multivariate skew-normal copula-based regression. 376-391

Probabilistic graphical models

• 
  Leonard K. M. Poon, April H. Liu, Nevin L. Zhang:
  UC-LTM: Unidimensional clustering using latent tree models for discrete data. 392-409