Statistics with fuzzy data in statistical quality control

被引：23
|
作者：
Hryniewicz, Olgierd [1 ]
机构：
[1] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland
来源：
SOFT COMPUTING | 2008年 / 12卷 / 03期
关键词：
fuzzy sets; statistical quality control; acceptance sampling; statistical process control; control charts;
D O I：
10.1007/s00500-007-0203-x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Statistical quality control (SQC) is an important field where both theory of probability and theory of fuzzy sets may be used. In the paper we give a short overview of basic problems of SQC that have been solved using both these theories simultaneously. Some new results on the applications of fuzzy sets in SQC are presented in details. We also present problems which are still open, and whose solution should definitely increase the applicability of fuzzy sets in quality control.
引用
收藏
页码：229 / 234
页数：6
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