Editorial Board
Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems
An intelligent system for livestock disease surveillance
Manifold regularized cross-modal embedding for zero-shot learning
DiABlO: Optimization based design for improving diversity in recommender system
Invariance to ordinal transformations in rank-aware databases
Secure publicly verifiable and proactive secret sharing schemes with general access structure
An ontology-based framework for the automated analysis and interpretation of comic books’ images
The privacy preserving method for dynamic trajectory releasing based on adaptive clustering
A decomposition-based multi-objective optimization for simultaneous balance computation and transformation in signed networks
FIoT: An agent-based framework for self-adaptive and self-organizing applications based on the Internet of Things
Tissue-like P systems with evolutional symport/antiport rules
Level-aware collective spatial keyword queries
CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization
Granular Computing Based Machine Learning in the Era of Big Data
Three-way cognitive concept learning via multi-granularity
Double-quantitative rough fuzzy set based decisions: A logical operations method
On rule acquisition in incomplete multi-scale decision tables
A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism
Attribute reduction in generalized one-sided formal contexts
Feature selection and approximate reasoning of large-scale set-valued decision tables based on α-dominance-based quantitative rough sets
A new effect-based roughness measure for attribute reduction in information system
Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method
A novel approach to information fusion in multi-source datasets: A granular computing viewpoint
Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios
Regression-based three-way recommendation
Multi-granularity sequence labeling model for acronym expansion identification
Granularity selection for cross-validation of SVM
Fuzziness based semi-supervised learning approach for intrusion detection system
