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Fuzzy EWMA and Fuzzy CUSUM Control Charts
Studies in Fuzziness and Soft Computing, 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.
Nihal Erginel +2 more
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An alternative approach to fuzzy control charts: Direct fuzzy approach
Information Sciences, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Murat Gülbay, Cengiz Kahraman
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Fuzzy theory and quality control charts
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017Quality control charts are one of the most important tools of statistical process control, used to analyze the behavior of different processes and to predict possible production failures. The use of a fuzzy approach in the design of control charts has allowed to improve the performance of traditional charts, as well as to be possible of a simple ...
Maria Nela Pastuizaca Fernández
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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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An application of fuzzy random variables to control charts
Fuzzy Sets and Systems, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alireza Faraz, Arnold F. Shapiro
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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).
Ihsan Kaya, Cengiz Kahraman
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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 ...
Şentürk, Sevil
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Intuitionistic fuzzy c control charts based on intuitionistic fuzzy ranking method for TIFNs
Soft Computing, 2022 Control charts are used to control the process in order to supply products with requested properties. Classical control charts are inadequate to control the process that contain vagueness and hesitancy.
Gültekin Atalik +2 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 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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