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Fuzzy multinomial control chart and its application

AIP Conference Proceedings, 2016
Control chart is a technique that has been used widely in industry and services. P chart is the simplest control chart. In this chart, item is classified into two categories as either conforming and non conforming. This chart based on binomial distribution.
null Wibawati   +3 more
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Design of Fuzzy U Control Charts

2011
When expressing any data in linguistic terms related to a quality characteristic, traditional statistical techniques are insufficient to capture the vagueness in the data. Linguistic data can be transformed into numerical values to handle them with traditional statistical techniques by using the fuzzy set theory.
Şentürk, Sevil   +3 more
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Development of fuzzy process control charts and fuzzy unnatural pattern analyses

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gülbay, Murat, Kahraman, Cengiz
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Fuzzy assignable cause diagnosis of control chart patterns

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, 2008
Control chart patterns, besides determining the presence of assignable causes, also provide hints on the nature of assignable cause present. But relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist.
K. Demirli, S. Vijayakumar
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A fuzzy control charting method for individuals

International Journal of Production Research, 2003
Shewhart Statistical Quality Control (SQC) charts provide a graphical depiction and record of sample data points, to enable immediate recognition of special causes affecting the process output quality. These charts can detect changes in the mean level, and various other types of unnatural behaviour by the process.
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Fuzzy multivariate exponentially weighted moving average control chart

The International Journal of Advanced Manufacturing Technology, 2009
Traditional multivariate control charts such as Hotelling’s χ2 and T2 control charts are designed to monitor vectors of variable quality characteristics. However, in certain situations, data are expressed in linguistic terms and, under these circumstances, variable or attribute multivariate control charts are not suitable choices for monitoring ...
Hossein Alipour, Rassoul Noorossana
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A design methodology based on two dimensional fuzzy linguistic variables for attribute control charts with real case applications

Engineering applications of artificial intelligence, 2023
I. Kaya, Esra Ilbahar, A. Karaşan
semanticscholar   +1 more source

Fuzzy rules for fuzzy $\overline{X}$ and $R$ control charts

2014
Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the ...
Khademi, M., Amirzadeh, V.
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Intuitionistic fuzzy c control charts based on intuitionistic fuzzy ranking method for TIFNs

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
Gultekin Atalik, S. Senturk
semanticscholar   +1 more source

Fuzzy individual and moving range control charts with α-cuts

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2008
In Statistical Process Control (SPC), both variable and attribute control charts are widely used techniques to monitor and evaluate the process with respect to the related quality characteristics. In variable control charts, quality characteristics are measured on a numerical scale, using two main parameters mean and standard deviation.
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