时序Rough逻辑及其在数据分析中的应用

Temporal Rough Logic and Its Applications in Data Analysis

提出一种时序Rough逻辑,定义了时序算子及其作用于Rough逻辑公式上的意义.描述了这种逻辑的语法和语义.论述了时序Rough逻辑中的语义模型是一个无限状态序列,其中每一状态都描述了当前时刻和场景点上信息系统的信息.从当前状态到下一状态的变换是遵循时序Rough逻辑演算的,它必须保持知识不变,也就是属性和讨论的对象不变,而属性关于对象的特征值,即属性值随着时间和场景变化而可以变化.因此,在信息系统上作决策、数据约简和信息粒化等都将产生影响,由此可见时序Rough逻辑将是动态地处理信息系统的理论工具,也将是合理地解决和处理不一致信息表的较好方法.

A temporal Rough logic is proposed. Temporal operators are defined, they are used in Rough logical formula, that Rough logical formula has new significance. Syntax and semantics of the logic are also described. Semantics model of the logic is any infinite state-sequence, where each state shows the information on IS in point and time at present. The changing from the state at present into next state obey the calculus in temporal Rough logic, it must keep no change of knowledge, namely, attributes and objects no change, but the values of attributes may change according to difference in point and time. Hence, the making decision, data reduction and information granulating on IS are changed. It follows that temporal Rough logic will be a theoretical tool to handle information systems dynamically. Which will also be better approach to solve and handle inconsistent decision table suitably.