Traditional rough set approach is mainly used to unravel rules from a decision table in which
objects can possess a unique attribute-value. In a real world data set, for the same attribute …

摘要粒计算的形式化研究一直没有被仔细讨论. 文中在集合论框架下, 对粒计算做了系统研究,
给出了粒度空间的三层模型(论域, 基, 粒结构). 借用逻辑语言L 判定粒的可定义性 …

Hesitant fuzzy set is a generalization of the classical fuzzy set by returning a family of the
membership degrees for each object in the universe. Since how to use the rough set model …

Pythagorean fuzzy soft set theory is very effective to simultaneously depict the parameter-
dependent uncertainty and the uncertainty of belongingness in the entities of a system. The …

Dengue is a mosquito-borne pandemic viral infection, which transmits to humans from
Female Aedes albopictis or Aedes agypti mosquitoes. It progressively deteriorates the …

The coming of the big data era brings the opportunities to greatly improve the forecasting
accuracy of weather phenomena. Specifically, weather change is quite a complex process …

An approximate retrieval model is proposed based on the notion of neighborhood systems.
The knowledge used in the model consists of an information table, in which each object is …

In many practical situations, some of the attribute values for an object may be set-valued.
The existing crisp rough set model for set-valued information systems is based on a …

This paper studies reduction of a multigranulation fuzzy information system by using
uncertainty measures based on variable precision multigranulation decision-theoretic fuzzy …

As an emerging field of study, granular computing has received much attention. Many
models, frameworks, methods and techniques have been proposed and studied. It is …