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基于VPRS的信息系统近似决策规则优化
Approximate Decision Rules Optimization Based on VPRS Model in Information Systems
【摘要】 基于变精度粗糙集模型,在决策信息系统中定义近似协调等价类的一种近似约简;构造相应的区分函数,利用布尔推理理论求取近似协调等价类的近似约简,并由此获取近似决策规则的简化决策规则。利用这个方法得到的简化决策规则,与原系统中的近似决策规则是相容的。
【Abstract】 A kind of approximate reduct of approximate consistent equivalent class in decision information system is proposed based on VPRS model,a discernibility function is constructed and used to compute the approximate reduct by utilizing Boolean reasoning techniques.From all reducts of approximate consistent equivalent classes,simplified approximate decision rules compatible with original system can be derived.
【关键词】 变精度粗糙集;
决策规则;
属性约简;
区分函数;
【Key words】 variable precision rough set; decision rule; attribute reduct; discernibility function;
【Key words】 variable precision rough set; decision rule; attribute reduct; discernibility function;
【基金】 国家自然科学基金资助项目(编号:70271048)
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2006年22期
- 【分类号】TP18
- 【被引频次】5
- 【下载频次】75