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A fuzzy logic approach for dealing with qualitative quality characteristics of a process

机译:一种处理过程定性质量特征的模糊逻辑方法

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摘要

Dealing with qualitative information is quite common in real life problems. So far research focused on developing process adjustment models only for quantitative data. This paper presents a process adjustment approach of a deteriorating process in which quality characteristics are expressed in qualitative form. This approach jointly determines the initial setting of process mean and production run. A fuzzy logic is adopted to implement the process adjustment approach. The features of this approach are lack of mathematical complexity and ability to deal with qualitative data. Detailed implementation of the fuzzy process adjustment model is also given in this paper.
机译:在现实生活中,处理定性信息非常普遍。到目前为止,研究集中在仅针对定量数据开发过程调整模型。本文提出了一种恶化过程的过程调整方法,其中质量特征以定性形式表示。该方法共同确定过程平均值和生产运行的初始设置。采用模糊逻辑来实现过程调整方法。这种方法的特点是缺乏数学上的复杂性和处理定性数据的能力。本文还给出了模糊过程调整模型的详细实现。

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