Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …

Rough set theory is an efficient tool for dealing with inexact and uncertain information.
Numerous studies have focused on rough set theory and associated methodologies, and in …

Pythagorean fuzzy sets (PFSs) as a new generalization of intuitionistic fuzzy sets (IFSs) can
effectively handle uncertain information more flexibly in the process of decision making. As a …

Abstract Three-way decision (3WD) models have been widely investigated in the fields of
approximate reasoning and decision making. Recently, sequential 3WD models have …

The scale of the radius for constructing neighborhood relation has a great effect on the
results of neighborhood rough sets and corresponding measures. A very small radius …

With the advent of the age of big data, a typical big data set called limited labeled big data
appears. It includes a small amount of labeled data and a large amount of unlabeled data …

Similar to feature selection over completely labeled data, the aim of feature selection over
partially labeled data (semi-supervised feature selection) is also to find a feature subset …

Abstract Three-way decision (3WD) is a granulation-computing paradigm consisting of
trisecting, acting, and outcome (ie, TAO model). Movement-based three-way decision (M …

Autoencoder network is an efficient representation learning method. In general, a finer
feature set obtained from autoencoder leads to a lower error rate and lower total …

In recent years, granular computing has been developed as a unified data description
paradigm. As a popular soft computing supervised learning model, rough sets theory-based …