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Year 2017, Volume: 18 Issue: 3, 563 - 572, 30.09.2017
https://doi.org/10.18038/aubtda.287760

Abstract

References

  • [1] H. Rowlands and L.R. Wang, An approach of fuzzy logic evaluation and control in SPC, Quality Reliability Engineering Intelligent 16 ,2000, 91-98.
  • [2] S.M. El-Shal, and A.S. Morris, A fuzzy rule-based algorithm to improve the performance of statistical process control in quality systems, Journal of Intelligent Fuzzy Systems 9 , 2000, 207-223.
  • [3] M.H.F., Zarandi, A. Alaeddini and I.B. Turksen, A hybrid fuzzy adaptive sampling – Run rules for Shewhart control charts, Information Sciences 178 , 2008, 1152-1170.
  • [4] N. Erginel, Fuzzy individual and moving range control charts with α-cuts, Journal of Intelligent & Fuzzy Systems 19 , 2008 , 373-383.
  • [5] S. Şentürk and N. Erginel, Development of fuzzy and control charts using α-cuts, Information Sciences 179 , 2009 , 1542-1551.
  • [6] S. Şentürk, Fuzzy Regression Control Chart Based on α-cut Approximation, International Journal of Computational Intelligence Systems 3(1) , 2010 , 123-140.
  • [7] N. Erginel, S. Şentürk, C. Kahraman and İ. Kaya, Evaluating the packing process in food industry using fuzzy and control charts, International Journal of Computational Intelligence Systems, 4, 2011, 509-520.
  • [8] T. Raz and J.H. Wang, Probabilistic and memberships approaches in the construction of control chart for linguistic data, Production Planning and Control 1 ,1990, 147.
  • [9] J.H. Wang and T. Raz, On the construction of control charts using linguistic variables, Intelligent Journal of Production Research, 28 , 1990, 477-487.
  • [10] A. Kanagawa, F. Tamaki and H. Ohta, Control charts for process average and variability based on linguistic data, Intelligent Journal of Production Research, 31(4) ,1993, 913-922.
  • [11] M., Gülbay, C. Kahraman and D. Ruan, α-cut Fuzzy control charts for linguistic data, International Journal of Intelligent Systems 19 ,2004, 1173-1196.
  • [12] M. Gülbay and C. Kahraman, Development of fuzzy process control charts and fuzzy unnatural pattern analyses, Computational Statistics and Data Analysis, 51 , 2006a, 434-451.
  • [13] M. Gülbay and C. Kahraman, An alternative approach to fuzzy control charts: Direct fuzzy approach, Information Sciences, 77 (6) , 2006b, 1463-1480.
  • [14] S. Şentürk, N. Erginel, İ. Kaya and C. Kahraman, Design of Fuzzy Control Chart, Journal of Multiple Valued- Logic, and Soft Computing , 2010, 1-15.
  • [15] İ. Kaya and C. Kahraman, Process capability analyses based on fuzzy measurement and fuzzy control charts, Expert systems with applications 38 , 2011, 3172-3184.
  • [16] N. Erginel, Fuzzy Rule Based p-np control charts, Journal of Intelligent Fuzzy Systems, 27, 2014, 159-171.
  • [17] M. Khademi and V. Amırzadeh, Fuzzy rules for fuzzy and R Control charts, Iranian Journal of Fuzzy systems 11(5) , 2014, 55-56.
  • [18] D.C Montgomery, Introduction to Statistical Quality Control, John Wiley & Sons. Inc., 1991, 351.
  • [19] S.J .Chen, C.L,Hwang and F.P.Hwang, Fuzzy multiple attribute decision making: methods and applications.Springer-Verlag, Berlin 1992 .

CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD

Year 2017, Volume: 18 Issue: 3, 563 - 572, 30.09.2017
https://doi.org/10.18038/aubtda.287760

Abstract

A control chart is a tool that
is used for representing and monitoring the process. Also control chart
detected process shifts and abnormal conditions in a process. In a process
monitored the c control charts, due to the uncertainty of the attribute data, c
control chart may not applicable for the process since it’s required certain
information. Many papers of fuzzy control charts with type-1 fuzzy sets based
on transformation techniques are exist in literature. This paper constructed
the fuzzy c control chart based on fuzzy rule method. The proposed fuzzy rule c
control chart is applied in real world data.

References

  • [1] H. Rowlands and L.R. Wang, An approach of fuzzy logic evaluation and control in SPC, Quality Reliability Engineering Intelligent 16 ,2000, 91-98.
  • [2] S.M. El-Shal, and A.S. Morris, A fuzzy rule-based algorithm to improve the performance of statistical process control in quality systems, Journal of Intelligent Fuzzy Systems 9 , 2000, 207-223.
  • [3] M.H.F., Zarandi, A. Alaeddini and I.B. Turksen, A hybrid fuzzy adaptive sampling – Run rules for Shewhart control charts, Information Sciences 178 , 2008, 1152-1170.
  • [4] N. Erginel, Fuzzy individual and moving range control charts with α-cuts, Journal of Intelligent & Fuzzy Systems 19 , 2008 , 373-383.
  • [5] S. Şentürk and N. Erginel, Development of fuzzy and control charts using α-cuts, Information Sciences 179 , 2009 , 1542-1551.
  • [6] S. Şentürk, Fuzzy Regression Control Chart Based on α-cut Approximation, International Journal of Computational Intelligence Systems 3(1) , 2010 , 123-140.
  • [7] N. Erginel, S. Şentürk, C. Kahraman and İ. Kaya, Evaluating the packing process in food industry using fuzzy and control charts, International Journal of Computational Intelligence Systems, 4, 2011, 509-520.
  • [8] T. Raz and J.H. Wang, Probabilistic and memberships approaches in the construction of control chart for linguistic data, Production Planning and Control 1 ,1990, 147.
  • [9] J.H. Wang and T. Raz, On the construction of control charts using linguistic variables, Intelligent Journal of Production Research, 28 , 1990, 477-487.
  • [10] A. Kanagawa, F. Tamaki and H. Ohta, Control charts for process average and variability based on linguistic data, Intelligent Journal of Production Research, 31(4) ,1993, 913-922.
  • [11] M., Gülbay, C. Kahraman and D. Ruan, α-cut Fuzzy control charts for linguistic data, International Journal of Intelligent Systems 19 ,2004, 1173-1196.
  • [12] M. Gülbay and C. Kahraman, Development of fuzzy process control charts and fuzzy unnatural pattern analyses, Computational Statistics and Data Analysis, 51 , 2006a, 434-451.
  • [13] M. Gülbay and C. Kahraman, An alternative approach to fuzzy control charts: Direct fuzzy approach, Information Sciences, 77 (6) , 2006b, 1463-1480.
  • [14] S. Şentürk, N. Erginel, İ. Kaya and C. Kahraman, Design of Fuzzy Control Chart, Journal of Multiple Valued- Logic, and Soft Computing , 2010, 1-15.
  • [15] İ. Kaya and C. Kahraman, Process capability analyses based on fuzzy measurement and fuzzy control charts, Expert systems with applications 38 , 2011, 3172-3184.
  • [16] N. Erginel, Fuzzy Rule Based p-np control charts, Journal of Intelligent Fuzzy Systems, 27, 2014, 159-171.
  • [17] M. Khademi and V. Amırzadeh, Fuzzy rules for fuzzy and R Control charts, Iranian Journal of Fuzzy systems 11(5) , 2014, 55-56.
  • [18] D.C Montgomery, Introduction to Statistical Quality Control, John Wiley & Sons. Inc., 1991, 351.
  • [19] S.J .Chen, C.L,Hwang and F.P.Hwang, Fuzzy multiple attribute decision making: methods and applications.Springer-Verlag, Berlin 1992 .
There are 19 citations in total.

Details

Subjects Engineering
Journal Section Articles
Authors

Sevil Şentürk

Publication Date September 30, 2017
Published in Issue Year 2017 Volume: 18 Issue: 3

Cite

APA Şentürk, S. (2017). CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18(3), 563-572. https://doi.org/10.18038/aubtda.287760
AMA Şentürk S. CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD. AUJST-A. September 2017;18(3):563-572. doi:10.18038/aubtda.287760
Chicago Şentürk, Sevil. “CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18, no. 3 (September 2017): 563-72. https://doi.org/10.18038/aubtda.287760.
EndNote Şentürk S (September 1, 2017) CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18 3 563–572.
IEEE S. Şentürk, “CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD”, AUJST-A, vol. 18, no. 3, pp. 563–572, 2017, doi: 10.18038/aubtda.287760.
ISNAD Şentürk, Sevil. “CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18/3 (September 2017), 563-572. https://doi.org/10.18038/aubtda.287760.
JAMA Şentürk S. CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD. AUJST-A. 2017;18:563–572.
MLA Şentürk, Sevil. “CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 18, no. 3, 2017, pp. 563-72, doi:10.18038/aubtda.287760.
Vancouver Şentürk S. CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD. AUJST-A. 2017;18(3):563-72.