摘要
基于粗糙集理论中决策表条件属性区分能力的概念,提出了计算属性决策能力的量化方法,并以此作为启发式信息来指导决策表中冗余属性的约简,提高了约简效率。这种方法直接应用于机械故障诊断中的知识约简,可以得到更清晰、简明的诊断规则,应用结果表明本约简算法合理、可靠。
Based on the attribute discernibility conception in rough set theory, an algorithm to calcu-late the decision-making capability of attribute is presented. This capability can beused asheuristic information guiding the attribute reduction and improve the computation efficiency.In the fault diagnosis system, the algorithm has been applied to acquire concise rule knowl-edge by reducing the fault symptoms effectively. The results show its rationality and reliability.
出处
《制造业自动化》
2004年第6期6-9,共4页
Manufacturing Automation
基金
国家863计划资助项目(863-2001AA423230)
湖北省自然科学基金资助(2003ABA002)
关键词
决策能力
属性约简
粗糙集
decision-making capability
attribute reduction
rough set
