摘要
给出两粗糙集间一种新的相似度计算方法,并将其应用到模糊模式识别问题中,通过算例说明这种方法的可行性和有效性.
A new kind of similarity measure between two rough sets was presented. The proposed method was applied to fuzzy pattern recognition problems. The feasibility and effectiveness of this method was shown through illustrative examples.
出处
《兰州大学学报(自然科学版)》
CAS
CSCD
北大核心
2014年第4期552-555,560,共5页
Journal of Lanzhou University(Natural Sciences)
基金
陇东学院青年科技创新项目(XYLK1303)
陇东学院博士科研启动资金项目(XYBY05)
关键词
粗糙集
模糊模式识别
相似度
包含度
rough set
fuzzy pattern recognition
similarity degree
inclusion degree