[1]侯世旺,同淑荣..基于模糊数的模糊过程质量控制图研究[J].郑州大学学报(工学版),2008,29(01):39-43.
　HOU Shiwang,Tong Shurong.Research on fuzzy process quality control diagram based on fuzzy number[J].Journal of Zhengzhou University (Engineering Science),2008,29(01):39-43.
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基于模糊数的模糊过程质量控制图研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
29卷
期数:
2008年01期
页码:
39-43
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Research on fuzzy process quality control diagram based on fuzzy number
作者:
侯世旺; 同淑荣.
西北工业大学,管理学院,陕西,西安,710072, 西北工业大学,管理学院,陕西,西安,710072
Author(s):
HOU Shiwang; Tong Shurong
关键词:
模糊过程;  质量控制;  模糊数;  控制图
Keywords:
文献标志码:
A
摘要:
针对传统计数型控制图由二分法对产品质量的分类,与产品质量的渐进而非突变过程不相符,难以满足对过程及产品质量的精细化控制的状况,提出由专家组对产品质量进行主观评分,对此模糊结果统计分析,以模糊数的形式形成对产品质量的集体观点,并以此模糊数绘制控制图,应用可能性测度、必要性测度两种方法对过程中心趋势以及模糊度进行监控,以此判断过程的控制状态,实现对具有模糊质量特性的过程的监控.
Abstract:

Aiming at the classification of product quality by the dichotomy of traditional counting control charts, which is inconsistent with the gradual rather than abrupt process of product quality, and it is difficult to meet the situation of fine control of process and product quality, it is proposed that the expert group should subjectively score the product quality, analyze the fuzzy results statistically, form a collective view of product quality in the form of fuzzy numbers, and draw the control chart with this fuzzy number, and use the two methods of possibility measure and necessity measure to monitor the process center trend and ambiguity. In this way, the control status of the process is judged and the process with fuzzy quality characteristics is monitored.

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更新日期/Last Update: 1900-01-01