VCOS: Multi-scale information fusion to feature selection using fuzzy rough combination entropy.

Cognitive Analysis of Medical Decision-Making: An Extended MULTIMOORA-Based Multigranulation Probabilistic Model with Evidential Reasoning.

Adaptive Sliding Mode Control for Nonlinear Impulsive Time-Delay Hybrid Systems.

Double-Quantitative Feature Selection Approach for Multigranularity Ordered Decision Systems.

Discrete Impulsive Signal Observer for Fractional-Order Control Systems and Its Consumer Electronic Circuit Application.

Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges.

Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data.

Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion.

Multi-Granularity Probabilistic Rough Fuzzy Sets for Interval-Valued Fuzzy Decision Systems.

Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data.

Dynamic maintenance of updating rough approximations in interval-valued ordered decision systems.

A regret theory-based multi-granularity three-way decision model with incomplete T-spherical fuzzy information and its application in forest fire management.

An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution.

Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity.

Exponential Stability of Fractional-Order Switched Systems With Mode-Dependent Impulses and Its Application.

On rough set based fuzzy clustering for graph data.

An incremental learning mechanism for object classification based on progressive fuzzy three-way concept.

General expression of knowledge granularity based on a fuzzy relation matrix.

Dynamic updating approximations of local generalized multigranulation neighborhood rough set.

Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems.

A comparative experimental evaluation on performance of type-1 and interval type-2 Takagi-Sugeno fuzzy models.

Multi-granulation-based optimal scale selection in multi-scale information systems.

Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features.

Double-quantitative variable consistency dominance-based rough set approach.

Fuzziness and incremental information of disjoint regions in double-quantitative decision-theoretic rough set model.

Attribute-oriented cognitive concept learning strategy: a multi-level method.

Distance-based double-quantitative rough fuzzy sets with logic operations.

Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets.

Knowledge reductions in generalized approximation space over two universes based on evidence theory.

Double-quantitative decision-theoretic rough set.

Multigranulation Decision-theoretic Rough Set in Ordered Information System.