Granular computing has attracted many researchers as a new and rapidly growing paradigm
of information processing. In this paper, we apply systematic mapping study to classify the …

摘要在大数据时代, 如何充分挖掘出蕴藏于数据资源中的价值正在成为各国IT 业界,
学术界和政府共同关注的焦点. 使用云计算平台分布式地存储和分析大数据已经成为共识并且 …

In human concept learning, people can naturally combine a handful of labeled data with
abundant unlabeled data when they make classification decisions, which is also known as …

Formal concept analysis is an effective tool for data analysis and knowledge discovery.
Corresponding to concept lattice in a formal context, object-oriented concept lattice is …

Decision implication is a basic form of knowledge representation of formal concept analysis
in the setting of decision-making. Concept rules are decision implications that reveal the …

This paper introduces a new metamodel-based knowledge representation that significantly
improves autonomous learning and adaptation. While interest in hybrid machine …

Granular computing (GrC) is a problem-solving concept deeply rooted in human thinking.
GrC, as a new and rapidly growing paradigm of information processing, has attracted the …

In the past decade, proposed by Geoffrey Hinton, deep learning has been proved its
powerful ability in processing data from lower level to higher level and gradually composes …

In the past decade, granular computing (GrC) has been an active topic of research in
machine learning and computer vision. However, the granularity division is itself an open …

The cogent area, Probabilistic rough sets, offers methods that are used to trisect the data into
positive, negative and boundary regions for optimum (α, β) pairs. These basic methods …