[1] A. Faraz, A. F. Shapiro, An application of fuzzy random variables to control charts. Fuzzy Sets and Systems, 161 (2010), 2684 – 2694.
[2] M. Gulbay, C. Kahraman and D., Ruan, a-Cut Fuzzy control charts for linguistic data. International Journal of Intelligent Systems, 19 (2004), 1173–1195.
[3] M. Gulbay and C. Kahraman, An alternative approach to fuzzy control charts: Direct fuzzy approach. Information Sciences, 177 (2007), 1463–1480.
[4] I. Kaya, C. Kahraman, Process capability analyses based on fuzzy measurements and fuzzy control charts. Expert Systems with Applications, 38 (2011), 3172–3184.
[5] M. Khademi and V. Amirzadeh, Fuzzy rules for fuzzy X and R control charts, Iranian Journal of Fuzzy Systems, 11 (2014), 55-66.
[6] M. Khademi and V. Amirzadeh, Process control using assumed fuzzy test and fuzzy acceptance region, Journal of Mahani Mathematical Research Center, 2 (2015), 29-37.
[7] H. Moheb Alizadeha, S.M.T. Fatemi Ghomib, Fuzzy development of mean and range control charts using statistical properties of different representative values. Journal of Intelligent Fuzzy Systems, 22 (2011), 253-265.
[8] D. C. Montgomery, Introduction to Statistical Quality Control, John Wiley Sons, New York, 4 (2005).
[9] A. F. Shapiro, Fuzzy random variables. Insurance: Mathematics and Economics,44 (2009), 307-314.
[10] W. A. Shewhart, Economic Control of Quality of Manufactured Product, D. Van Nostrand, Inc., Princeton, NJ., (1937).
[11] J. H. Wang and T. Raz, on the construction of control charts using linguistic variables, International Journal of Production Research, 28 (1990), 477-487.