从三支决策的视角出发, 系统地介绍了三支决策与粗糙集理论相融合的理论, 方法和应用.
考虑到粗糙集理论中的正域, 负域和边界域可分别生成相应的接受, 拒绝和延迟决策规则 …

Three-way decision theory has emerged as an effective method for attribute reduction when
dealing with vague, uncertain, or imprecise data. However, most existing attribute reduction …

Decision-theoretic rough set model, as a probabilistic generalization of the Pawlak rough set
model, is an effective method for decision making from vague, uncertain or imprecise data …

In situations where available information or evidence is incomplete or uncertain,
probabilistic two-way decisions/classifications with a single threshold on probabilities for …

In fields such as pattern recognition and computational intelligence, attribute subset
selection has gradually attracted the attention of researchers as a challenging issue …

Cost sensitivity is an important problem, which has been addressed by many researchers
around the world. As far as cost sensitivity in the rough set theory is concerned, two types of …

Attribute reduction plays an important role in pattern recognition and machine learning, and
the theory of rough sets has become a commonly used model for attribute reduction since its …

Three-way decision is a typical and popular methodology for decision-making and
approximate reasoning, while attribute reduction is an important research topic in three-way …

The present paper introduces two models of three-way decision with ranking and reference
tuple on hybrid information tables. One is the model with an importance ratio, and the other …

As the significant expansion of classical rough sets, local rough sets (LRS) is an effective
model for processing large-scale datasets with finite labels. However, the process of …