基于熵理论的质量问题追溯

Tracing back of quality questions based on the entropy theory

质量是企业的命脉,而质量问题追溯是质量管理的重要环节;在质量追溯实际操作过程中存在信息源繁多,信息处理量巨大的问题,使得决策难度很大。文章通过熵融合模型来对烦琐的信息源进行筛选,选择最小条件熵,找出最佳信息源组合,并进行决策;在此基础上提出熵调准聚合算法,简化计算的复杂性。

In tracing back of quality questions, which is an important link in quality management, to make a certain decision is a difficult thing as there are numerous information sources and a large number of original data for processing in the actual operation process. The entropy fusion model is adopted herein to separate the complicated information sources. By the reduced conditional entropy, the best information source combination can be discovered, and then decision-making can be carried out. The entropy adaptative aggregation algorithm is proposed to simplify the computation.