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针对SPC和SPCD在质量控制和诊断中的局限性,提出了一种基于粗集的生产过程质量诊断方法。该方法不需要预先给定某些特征和属性数量的描述,从原始的生产过程质量信息出发,对其进行分析和简化,从中挖掘出影响生产过程质量发生变化的因素和影响规则,为生产过程质量的改进提供决策支持。
Aiming at the limitations of SPC and SPCD in quality control and diagnosis, a rough set based quality diagnosis method for production process is proposed. The method does not need to be given a description of certain characteristics and attributes. From the original quality information of the production process, the method is analyzed and simplified to find the factors that affect the quality of the production process and the rules of influence, Quality improvements provide decision support.