[1] R. A. Boyles, The Taguchi capability index, Journal of Quality Technology, 23 (1991), 17–26.
[2] J. J. Buckley, Fuzzy statistics: Hypothesis testing, Soft Computing, 9 (2005a), 512–518.
[3] J. J. Buckley, Fuzzy statistics: Hypothesis testing, Soft Computing, 9 (2005b), 757–760.
[4] L. K. Chan, S. W. Cheng and F. A. Spiring, A new measure of process capability Cpm,
Quality Technology, 20 (1988), 162–175.
[5] K. S. Chen, Incapability index with asymmetric tolerances, Statistica Sinica, 8 (1998), 253–
262.
[6] M. Greenwich and B. L. Jahr-Schaffrath, A process incapability index, International Journal
of Quality Reliability Management, 12 (1995), 58–71.
[7] T. C. Hsiang and G. Taguchi, Tutorial on quality control and assurance the Taguchi methods,
Joint Meeting of the American Statistical Association, Las Vegas, Nevada, 188 (1985).
[8] B. M. Hsu and M. H. Shu, Fuzzy inference to assess manufacturing process capability with
imprecise data, European Journal of Operational Research, (2008), 652–670.
[9] J. M. Juran, Juran;s Quality Control Handbook, 3rd edition, McGrawHill, New York, 1974.
[10] C. Kahraman and I. Kaya, Fuzzy process capability indices for quality control of irrigation
water, Stochastic Environmental Research and Risk Assessment, 23(4) (2009a), 451–462.
[11] C. Kahraman and I. Kaya, Fuzzy process accuracy index to evaluate risk assessment of
drought effects in Turkey, Human and Ecological Risk Assessment: An International Journal,
15(4) (2009b), 789–810.
[12] V. E. Kane, Process capability indices, Quality Technology, 18 (1986), 41–52.
[13] I. Kaya, The process incapability index under fuzziness with an application for decision making,
International Journal of Computational Intelligence Systems, 7(1) (2014), 114–128.
[14] I. Kaya and H. Baracli, Fuzzy process incapability index with asymmetric tolerances, Multiple-
Valued Logic and Soft Computing, 18(5-6) (2012), 493–511.
[15] I. Kaya and C. Kahraman, Fuzzy process capability analyses: An application to teaching
processes, Journal of Intelligent and Fuzzy Systems, 19(45) (2008), 259–272.
[16] I. Kaya and C. Kahraman, Fuzzy robust process capability indices for risk assessment of air
pollution, Stochastic Environmental Research and Risk Assessment, 23(4) (2009a), 529–541.
[17] I. Kaya and C. Kahraman, Air pollution control using fuzzy process capability indices in sixsigma
approach, Human and Ecological Risk Assessment: An International Journal, 15(4)
(2009b), 689–713.
[18] I. Kaya and C. Kahraman, Development of fuzzy process accuracy index for decision making
problems, Information Sciences, 180(6) (2010a), 861–872.
[19] I. Kaya and C. Kahraman, A new perspective on fuzzy process capability indices: Robustness,
Expert Systems with Applications, 37(6) (2010b), 4593–4600.
[20] I. Kaya and C. Kahraman, Fuzzy process capability analyses with fuzzy normal distribution,
Expert Systems with Applications, 37(7) (2010c), 5390–5403.
[21] I. Kaya and C. Kahraman, Process capability analyses with fuzzy parameters, Expert Systems
with Applications, 38(9) (2011a), 11918–11927.
[22] I. Kaya and C. Kahraman, Process capability analyses based on fuzzy measurements and
fuzzy control charts, Expert Systems with Applications, 38(4) (2011b), 3172–3184.
[23] I. Kaya and C. Kahraman, Fuzzy process capability indices with asymmetric tolerances, Expert
Systems with Applications, 38 (2011c), 14882–14890.
[24] Y. H. Lee, C. C. Wei and C. L. Chang, Fuzzy design of process tolerances to maximize process
capability, International Journal of Advanced Manufacturing Technology, 15 (1999), 655–659.
[25] H. T. Lee, Cpk index estimation using fuzzy numbers, European Journal of Operational
Research, 129 (2001), 683–688.
[26] A. Parchami, M. Mashinchi, A. R. Yavari and H. R. Maleki, Process capability indices as
fuzzy numbers, Austrian Journal of Statisics, 34(4) (2005), 391–402.
[27] A. Parchami, M. Mashinchi and H. R. Maleki, Fuzzy confidence interval for fuzzy process
capability index, Journal of Intelligent and Fuzzy Systems, 17 (2006), 287–295.
[28] A. Parchami and M. Mashinchi, Fuzzy estimation for process capability indices, Information
Sciences, 177 (2007), 1452–1462.
[29] A. Parchami and M. Mashinchi, A new generation of process capability indices, Journal of
Applied Statistics, 37(1) (2010), 77–89.
[30] Z. Ramezani, A. Parchami and M. Mashinchi, Fuzzy confidence regions for the Taguchi
capability index, International Journal of Systems Science, 42(6) (2011), 977–987.
[31] B. Sadeghpour-Gildeh, Comparison of and process capability indices in the case of measurement
error occurrence, IFSA World Congress, Istanbul, Turkey, (2003), 563–567.
[32] B. Sadeghpour-Gildeh and T. Angoshtari, Monitoring fuzzy capability index ˜ Cpk by using the
EWMA control chart with imprecise data, Iranian Journal of Fuzzy Systems, 10(2) (2013),
111–132.
[33] K. Vannman, A unified approach to capability indices, Statistica Sinica, (5) (1995), 805–820.
[34] C. Yongting, Fuzzy quality and analysis on fuzzy probability, Fuzzy Sets and Systems, 83
(1996), 283–290.
[35] L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338–353.
[36] H. J. Zimmermann, Fuzzy set theory, John Wiley & Sons, Inc., 2 (2010), 317–332.