Results 211 to 220 of about 231,481 (278)
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Adaptive Shewhart Control Charts Under Fuzzy Parameters with Tuned Particle Swarm Optimization Algorithm

Journal of Industrial Integration and Management, 2021
In recent years, adaptive control charts in which the design parameters depend on the observed samples have been successfully used as efficient alternatives for traditional control charts with constant parameters.
A. Amiri   +3 more
semanticscholar   +1 more source

Multivariate Fuzzy Multinomial Control Charts

Quality Technology & Quantitative Management, 2006
AbstractTwo approaches for constructing control charts to monitor multivariate attribute processes when data set is presented in linguistic form are suggested. Two monitoring statistics T2f and W2 are developed based on fuzzy and probability theories.
Hassen Taleb   +2 more
openaire   +1 more source

α-Cut fuzzy control charts for linguistic data

International Journal of Intelligent Systems, 2004
Murat Gülbay, Cengiz Kahraman, Da Ruan
openaire   +2 more sources

Fuzzy and R control charts: Fuzzy dominance approach

Computers & Industrial Engineering, 2011
The statistical process control (SPC), an internationally recognized technique for improving products quality and productivity, has been widely employed throughout various industries. The SPC relies on the use of control charts to monitor a manufacturing process for identifying special causes in the process variation and signaling the necessity of a ...
Hsien-Chung Wu, Ming-Hung Shu
openaire   +1 more source

Monitoring of segmented processes using p-box aggregated data and fuzzy control charts

Control and Cybernetics
The monitoring of inhomogeneous and non-stationary processes composed of segments and subsegments is considered. The structure of this segmentation is typical for medical data, describing voice characteristics of Bipolar Disorder (BD) psychiatric ...
O. Hryniewicz, Katarzyna Kaczmarek-Majer
semanticscholar   +1 more source

Fuzzy EWMA and Fuzzy CUSUM Control Charts

2016
Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the uncertainty in case of incomplete data.
Erginel, Nihal, Şentürk, Sevil
openaire   +1 more source

Fuzzy Shewhart Control Charts

2016
Process Control is the active correction of a process based on the results of process monitoring. Once the process monitoring tools have detected an assignable cause, this cause is removed to bring the process back into control. This chapter presents the process control techniques under fuzziness.
Cengiz Kahraman   +2 more
openaire   +1 more source

Fuzzy Multinomial Control Charts

2005
Two approaches for constructing control charts to monitor multivariate attribute processes when data is presented in linguistic form are suggested. Two monitoring statistics T and W2 are developed based on fuzzy and probability theories. The first is similar to the Hotteling's T2 statistic and is based on representative values of fuzzy sets.
Hassen Taleb, Mohamed Limam
openaire   +1 more source

Intuitionistic fuzzy c-control charts using defuzzification and likelihood methods

Journal of Intelligent & Fuzzy Systems, 2020
Control chart is one of the statistical methods to analyze the process. The use of fuzzy sets in control charts, which are divided into qualitative and quantitative data, has been applied in many studies recently.
Hatice Ercan Teksen, A. Anagün
semanticscholar   +1 more source

FUZZY REGRESSION CONTROL CHART

Computational Intelligence in Decision and Control, 2008
8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science -- SEP 21-24, 2008 -- Madrid ...
openaire   +1 more source

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