摘要
结合覆盖粗糙集和概率粗糙集模型,利用最大描述集的极小邻域,研究一类覆盖概率粗糙集一些重要性质.同时,以覆盖概率粗糙集的不确定性为基础,应用经典模糊熵的概念,探讨覆盖概率粗糙集的模糊性,丰富了覆盖粗糙集理论.
Integrating covering rough sets with probability rough sets models, some important properties of covering probability rough sets are investigated by using the minimal neighborhood of the maximal description sets. Furthermore,based on the uncertainty of coverage probability rough sets, the method of fuzziness for covering probability rough sets is given by applying the classical fuzzy entropy, which enrich the covering rough sets theory.
出处
《闽南师范大学学报（自然科学版）》
2015年第2期5-11,共7页
Journal of Minnan Normal University：Natural Science
关键词
最大描述
覆盖粗糙集
概率测度
模糊熵
maximal description
covering rough sets
probability measure
fuzzy entropy
