不一致决策系统中基于粒度计算的广义决策规则获取方法研究

Research on Method of Generalized Decision Rule Acquisition Based on GrC in Inconsistent Decision Systems

由于数据中存在噪声等主观和客观原因,不一致数据的出现和存在已变得十分普遍,因此需要发展一些能够直接分析和处理不一致数据的方法和技术。研究了不一致决策系统中的广义决策规则获取问题,基于粒度计算探讨了决策规则获取的基本原理,据此给出了计算所有极小广义决策规则集的一般方法。该方法不需要构造分辨矩阵,且可以并行执行,从而可降低空间开销和提高计算效率。此外,可对该方法进行拓展,以用于计算其他类型的极小决策规则集。这为不一致决策系统中的规则获取提供了一般方法。

Because of various subjective and objective factors such as noise in data,inconsistent data occurs more frequently in recent years.This requires exploring some method and technique that can directly analyze and deal with such inconsistent data.This paper studied generalized decision rule acquisition inconsistent decision systems.It first analyzed the basic principle of decision rule acquisition based GrC,and then gave a general method of computing all minimum generalized decision rule sets.This method has no need of constructing discernibility matrix and can be executed concurrently,so it has relatively low space cost and relatively high efficiency.In addition,it also can be easily expanded to compute all minimum generalized decision rule sets of other types.This provides a general method of rule acquisition in inconsistent decision systems.