Rough集理论发展现状与应用前景
The Development Actualities and Application Future on Rough Set Theory
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摘要: 为了解决复杂系统的不确定性信息处理问题,介绍了Rough集理论的基本概念和研究状况.对Rough集模型推广、约简算法研究等进行了讨论;并对Rough集理论在机器学习、决策分析、知识发现等领域中的应用状况进行了论述,同时提出了Rough集理论在知识获取和并行计算领域中的发展前景和Rough逻辑控制、Rough信息处理等研究方向.Abstract: As a solution to complicated system's information processing, the basic idea and concept of rough set theory are described. Some current studies on rough set theory are discussed, which focus on model extensions, reduction algorithms, and applications of rough set theory in areas like machine learning, decision analysis, knowledge discovery, etc. Further, research directions about rough logic control and rough information processing are put forwards.