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 …

Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …

The existing three-way decision (TWD)-making methods cannot effectively handle
incomplete multiattribute decision-making (MADM) problems in real life; it is necessary to …

The two-volume set of proceedings of IJCRS 2017, the 2017 International Joint Conference
on Rough Sets, contains the results of the meeting of the International Rough Set Society …

Different from the traditional two-way decision paradigm, three-way decisions (3WD) have
been extensively explored in addressing realistic multi-attribute decision making (MADM) by …

The concept of q-rung orthopair fuzzy sets (q-ROFSs) severs as an extended form of
orthopair fuzzy sets, which excels in flexibly depicting imprecise information existed in …

Any attribute set in an information system may be evolving in time when new information
arrives. Approximations of a concept by rough set theory need updating for data mining or …

Rough set theory provides a methodology for data analysis based on the approximation of
concepts in information systems. It revolves around the notion of discernibility: the ability to …

Although incomplete information is a well studied topic in rough set theory, there still does
not exist a general agreement on the semantics of various types of incomplete information …

摘要在阐释粗糙集理论基本体系结构的基础上, 从多个角度探讨粗糙集模型的研究思路,
分析粗糙集理论与模糊集, 证据理论, 粒计算, 形式概念分析, 知识空间等其它理论之间的联系 …