NDLI: Design of Fuzzy Quality Control Charts for Attributes Based on Triangular Fuzzy Numbers

Content Provider	IEEE Xplore Digital Library
Author	Tien-Tsai Huang Liang-Ho Chen Yen-Wen Wang Yi-Syuan Su
Copyright Year	2012
Abstract	The Shewhart control charts are still subject to new application areas that deserve further attention. If the quality-related characteristics cannot be represented in numerical form, such as characteristics for appearance, softness, color, etc., then control charts for attributes are used. except for the special cases, fuzzy control charts are used for attributes control charts such as fraction nonconforming, number nonconforming, nonconformities or average number of nonconformities per unit. in this paper, we utilize this fuzzy point of view, as well as the fuzzy modified Shewhart control charts with triangular fuzzy numbers to express the fuzzy phenomenon of the measurement value. Also, both the variable sample size and the average sample size approaches are used. Hence, we investigate quality control chart construction under random fuzzy environment. It is used for the analysis tool, so as to make the results more suitable the situation in reality.
Starting Page	449
Ending Page	452
File Size	396620
Page Count	4
File Format	PDF
ISBN	9781467321389
DOI	10.1109/ICGEC.2012.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Fuzzy sets Membership function Cut Control charts Quality control Inspection Educational institutions Electronic mail Shewhart control charts Fuzzy control charts Triangular fuzzy number
Content Type	Text
Resource Type	Article

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