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Process capability analyses based on fuzzy measurements and fuzzy control charts
Expert Systems With Applications, 2011Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. Although they are very usable statistics, they have some limitations which prevent a deep and flexible analysis because of the crisp measurements and specification limits (SLs).
Cengiz Kahraman, Ihsan Kaya
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Development of fuzzy $$ \bar{X} - S $$ control charts with unbalanced fuzzy data
Soft Computing, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akin Özdemir
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Design of Fuzzy u~ Control Charts.
J. Multiple Valued Log. Soft Comput., 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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On fuzzy and probabilistic control charts
International Journal of Production Research, 2002In this article, different procedures of constructing control charts for linguistic data, based on fuzzy and probability theory, are discussed. Three sets of membership functions, with different degrees of fuzziness, are proposed for fuzzy approaches.
Hassen Taleb, Mohamed Limam
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Fuzzy Multinomial Control Charts
2005Two 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
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Fuzzy and R control charts: Fuzzy dominance approach
Computers & Industrial Engineering, 2011The 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 ...
Ming-Hung Shu, Hsien-Chung Wu
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An application of fuzzy random variables to control charts
Fuzzy Sets and Systems, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alireza Faraz, Arnold F. Shapiro
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FUZZY REGRESSION CONTROL CHART
Computational Intelligence in Decision and Control, 20088th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science -- SEP 21-24, 2008 -- Madrid ...
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Multivariate Fuzzy Multinomial Control Charts
Quality Technology & Quantitative Management, 2006AbstractTwo 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
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Fuzzy Control Charts based on Ranking of Pentagonal Fuzzy Numbers
2023A Control Chart is a fundamental approach in Statistical Process Control. When uncommon causes of variability are present, sample averages will plot beyond the control boundaries, making the control chart a particularly effective process monitoring approach.
Ahmad, Mohammad +4 more
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