Covering-Based Optimistic Multigranulation Decision-Theoretic Rough Sets Based On Maximal Descriptors
ROUGH SETS, IJCRS 2017, PT II(2017)
摘要
This paper investigates decision-theoretic rough set approach in the frameworks of multi-covering approximation space. We mainly discuss optimistic multigranulation decision-theoretic rough sets by employing maximal descriptors of elements. First, we present the definitions of covering-based optimistic multigranulation decision-theoretic rough sets on the basis of Bayesian decision procedure. Then, we disclose some important and interesting properties of the model. Finally, we investigate the relationships between the proposed model and other related rough set models.
更多查看译文
关键词
Multigranulation, Decision-theoretic rough sets, Optimistic, Maximal descriptor
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络