1. Aalami, H. A., Moghaddam, M. P. and Yousefi, G. R. (2010). Modeling and prioritizing demand response programs in power markets. Electric Power Systems Research, 80(4), 426–435.
2. Azadeh, A. Kor, H. and Hatefi, S. M. (2011). A hybrid genetic algorithm–TOPSIS–computer simulation approach for optimum operator assignment in cellular manufacturing systems. Journal of the Chinese Institute of Engineers, 34(1), 57–74.
3. Behzadian, M., Otaghsara, S. K., Yazdani, M. and Ignatius, J. (2012). A state–of the–art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069.
4. Boyles, R. A. (1991). The Taguchi capability index. Journal of Quality Technology, 23(1), 17–26.
5. Chan, L. K., Cheng, S. W. and Spiring, F. A. (1988). A new measure of process capability: Cpm. Journal of Quality Technology, 20(3), 162–175.
6. Chang, Y. C. (2009). Interval estimation of capability index Cpmk for manufacturing processes with asymmetric tolerances. Computers & Industrial Engineering, 56(1), 312–322.
7. Chang, C. W. and Chen, C. C. (2010). Development of expert decision model to monitor precision of solar silicon wafer machine line. Computers & Industrial Engineering, 59(4), 481–487.
8. Chang, J. F. and Shi, P. (2011). Using investment satisfaction capability index based particle swarm optimization to construct a stock portfolio. Information Sciences, 181(14), 2989–2999.
9. Chang, Y. C. and Wu, C. W. (2008). Assessing process capability based on the lower confidence bound of Cpk for asymmetric tolerances. European Journal of Operational Research, 190(1), 205–227.
10. Chen, C. T. (2000). Extensions of the TOPSIS for group decision–making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9.
11. Chen, J. P. and Chen, K. S. (2004). Comparison of two process capabilities by using indices Cpm: an application to a color STN display. International Journal of Quality & Reliability Management, 21(1), 91–101.
12. Chen, H. T. and Chen, K. S. (2007). Advanced multi–process performance analysis chart for an entire product with joint confidence regions. International Journal of Production Research, 45(9), 2141–2159.
13. Chen, K. S. and Chen, T. W. (2008). Multi–process capability plot and fuzzy inference evaluation. International Journal Production Economics, 111(1), 70–79.
14. Chen, K. L., Chen, K. S. and Li, R. K. (2005a). Suppliers capability and price analysis chart. International Journal of Production Economics, 98(3), 315–327.
15. Chen, K. S., Chen, H. T. and Tong, L. I. (2002). Performance assessment of processing and delivery times for very large scale integration using process capability indices. The International Journal of Advanced Manufacturing Technology, 20(7), 526-531.
16. Chen, K. S., Chen, H. T. and Wang, C. H. (2012). A study of process quality assessment for golf club–shaft in leisure sport industries. Journal of Testing and Evaluation, 40(3), 512–519.
17. Chen, K. S., Hsu, C. H. and Ouyang, L. Y. (2007). Applied product capability analysis chart in measure step of six sigma, Quality & Quantity, 41(3), 387–400.
18. Chen, K. S., Hsu, C. H. and Wu, C. C. (2006a). Process capability analysis for a multi–process product. The International Journal of Advanced Manufacturing Technology, 27(11–12), 1235–1241.
19. Chen, K. S. and Huang, M. L. (2007). Process capability evaluation for the process of product families, Quality & Quantity, 41(1), 151–162.
20. Chen, K. S., Huang, M. L. and Hung, Y. H. (2008). Process capability analysis chart with the application of Cpm. International Journal of Production Research, 46(16), 4483–4499.
21. Chen, K. S., Huang, M. L. and Li, R. K. (2001). Process capability analysis for an entire product. International Journal of Production Research, 39(17), 4077–4087.
22. Chen, S. J. and Hwang, C. L. (1992). Fuzzy multiple attribute decision making: methods and applications, lecture notes in economics and mathematical systems. New York: Springer–Verlag.
23. Chen, C. T., Lin, C. T. and Huang, S. F. (2006b). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289–301.
24. Chen, K. S., Ouyang, L. Y. and Hsu, C. H. (2009a). A measuring model of process capability to consider sampling error. Journal of Information and Optimization Sciences, 30(4), 843–853.
25. Chen, K. S., Ouyang, L. Y., Hsu, C. H. and Wu, C. C. (2009b). The communion bridge to six sigma and process capability indices. Quality & Quantity, 43(3), 463–469.
26. Chen, K. S., Pearn, W. L. and Lin, P. C. (2003). Capability measures for processes with multiple characteristics. Quality and Reliability Engineering International, 19(2), 101–110.
27. Chen, K. S., Sung, W. P. and Shih M. H. (2005b). Reliable evaluation method of quality control for compressive strength of concrete. Journal of Zhejiang University SCIENCE, 6A(8), 836–843.
28. Chen, K. S., Wang, C. H. and Chen, H. T. (2006c). A MAIC approach to TFT–LCD panel quality improvement. Microelectronics Reliability, 46(7), 1189–1198.
29. Chen, K. S., Yu, K. T. and Sheu, S. H. (2006d). Process capability monitoring chart with an application in the silicon–filler manufacturing process. International Journal of Production Economics, 103(2), 565–571.
30. Crispim, J. A. and de–Sousa, J. P. (2009). Partner selection in virtual enterprises: a multi–criteria decision support approach. International Journal of Production Research, 47(17), 4791–4812.
31. Crispim, J. A. and de–Sousa, J. P. (2010). Partner selection in virtual enterprises. International Journal of Production Research, 48(3), 683–707.
32. Delgado, M., Verdegay, J. L. and Vila, M. A. (1992). Linguistic decision–making models. International Journal of Intelligent Systems, 7(5), 479–492.
33. Deng, H., Yeh, C. H. and Willis, R. J. (2000). Inter–company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963–973.
34. Dickson, G. W. (1996). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5–17.
35. Dotoli, M. and Falagario, M. (2012). A hierarchical model for optimal supplier selection in multiple sourcing contexts. International Journal of Production Research, 50(11), 2953–2967.
36. Fazlollahtabar, H. (2010). A subjective framework for seat comfort based on a heuristic multi criteria decision making technique and anthropometry. Applied Ergonomics, 42(1), 16–28.
37. Garcia–Cascales, M. S., Lamata, M. T. and Sanchez–Lozano, J. M. (2011). Evaluation of photovoltaic cells in a multi–criteria decision making process. Annals of Operations Research, 199(1), 373–391.
38. Govindan, K., Khodaverdi, R. and Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345–354.
39. Hsiang, T. C. and Taguchi, G. (1985). A tutorial on quality control and assurance – the Taguchi methods. ASA annual meeting. Las Vegas, Nevada.
40. Hsu, C. H. (2012). The process capability analysis model of hexagonal infrared optical lenses, Journal of computers, 7(11), 2691–2694.
41. Huang, M. L. and Chen, K. S. (2003). Capability analysis for a multi–process product with bilateral specifications. The International Journal of Advanced Manufacturing Technology, 21(10). 801–806.
42. Huang, M. L., Chen, K. S. and Hung, Y. H. (2002). Integrated process capability analysis with an application in backlight module. Microelectronics Reliability, 42(12), 2009–2014.
43. Huang, M. L., Chen, K. S. and Li, R. K. (2005). Graphical analysis of capability of a process producing a product family. Quality & Quantity, 39(5), 643–657.
44. Huang, C. F., Chen, K. S., Sheu, S. H. and Sheu, T. S. (2010). Enhancement of axle bearing quality in sewing machines using six sigma. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 224(10), 1581–1590.
45. Hwang, C. L. and Yoon, K. (1981). Multiple attribute decision making: methods and applications. New York: Springer–Verlag.
46. İc, Y. T. (2012). An experimental design approach using TOPSIS method for the selection of computer–integrated manufacturing technologies. Robotics and Computer–Integrated Manufacturing, 28(2), 245–256.
47. Jeang, A. and Chung, C. P. (2009). Process capability analysis based on minimum production cost and quality loss. The International Journal of Advanced Manufacturing Technology, 43(7–8), 710–719.
48. Juran, J. M. (1974). Juran’s quality control handbook (3rd ed). New York: McGraw–Hill.
49. Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.
50. Kang, H. Y. and Lee, A. H. I. (2006). Critical dimension control in photolithography based on the yield by a simulation program. Microelectronics Reliability, 46(5–6), 1006–1012.
51. Kao, C. (2010). Weight determination for consistently ranking alternatives in multiple criteria decision analysis. Applied Mathematical Modelling, 34(7), 1779–1787.
52. Kasirian, M. N. and Yusuff, R. M. (2012). An integration of a hybrid modified TOPSIS with a PGP model for the supplier selection with interdependent criteria. International Journal of Production Research, 51(4), 1037–1054.
53. Kaya, I. and Kahraman, C. (2009). Fuzzy robust process capability indices for risk assessment of air pollution. Stochastic Environmental Research and Risk Assessment, 23(4), 529–541.
54. Kim, Y., Chung, E. S., Jun, S. M. and Kim, S. U. (2013). Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS. Resources, Conservation and Recycling, 73, 23–32.
55. Kotz, S. and Johnson, N. L. (1993). Process capability indices. London: Chapman and Hall.
56. Kotz, S. and Lovelace, C. R. (1998). Process capability indices in theory and practice. London: Arnold.
57. Kotz, S., Pearn, W. L. and Johnson, N. L. (1993). Some Process Capability Indices are More Reliable than One Might Think. Journal of the Royal Statistical Society: Series C (Applied Statistics), 42(1), 55–62.
58. Lee, K. K., Park, C. K. and Han, S. H. (2010). Robust design of railway vehicle suspension using a process capability index. Journal of Mechanical Science and Technology, 24(1), 215–218.
59. Li, Y., Liu, X. and Chen, Y. (2012). Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management. Fuzzy Optimization and Decision Making, 11(2), 147–176.
60. Lin, W. T., Wang, S. T., Li, M. H. and Huang, C. T. (2012). Enhancement of process capability for strip force of tight sets of optical fiber using Taguchi’s quality engineering. Optical Fiber Technology, 18(2), 101–107.
61. Liu, X. B., Pei, F., Yang, J. B. and Yang, S. L. (2010). An MAGDM approach combining numerical values with uncertain linguistic information and its application in evaluation of R&D projects. International Journal of Computational Intelligence Systems, 3(5), 575–589.
62. Liu, P. and Zhang, X. (2011). Research on the supplier selection of a supply chain based on entropy weight and improved ELECTRE–III method, International Journal of Production Research, 49(3), 637–646.
63. Neter, J., Wasserman, W. and Whitmore, G. A. (1993). Applied statistics (4th ed.). Boston: Allyn and Bacon.
64. Parkan, C. and Wu, M. L. (1997). On the equivalence of operational performance measurement and multiple attribute decision making. International Journal of Production Research, 35(11), 2963–2988.
65. Parkan, C. and Wu, M. L. (1998). Process selection with multiple objective and subjective attributes. Production Planning & Control, 9(2), 189–200.
66. Pearn, W. L., Chang, Y. C. and Wu, C. W. (2006). Multiple–process performance analysis chart based on process loss indices. International Journal of Systems Science, 37(7), 429–435.
67. Pearn, W. L. and Chen, K. S. (1997). Multiprocess performance analysis: a case study. Quality Engineering, 10(1), 1–8.
68. Pearn, W. L., Hung, H. N. and Cheng, Y. C. (2009). Supplier selection for one-sided processes with unequal sample sizes. European Journal of Operational Research, 195(2), 381–393.
69. Pearn, W. L., Ko, C. H. and Wang, K. H. (2002). A multiprocess performance analysis chart based on the incapability index Cpp: an application to the chip resistors. Microelectronics Reliability, 42 (7), 1121–1125.
70. Pearn, W. L. and Kotz, S. (2006). Encyclopedia and handbook of process capability indices: A comprehensive exposition of quality control measures. Singapor: World Scientific Publishing Company.
71. Pearn, W. L., Kotz, S. and Johnson, N. L. (1994). Distributional and inferential properties of process capability indices. Journal of Quality Technology, 24(4), 216–231.
72. Pearn, W. L. and Lin, P. C. (2004). Testing process performance based on capability index Cpk with critical values. Computers & Industrial Engineering, 47(4), 351–369.
73. Pearn, W. L., Lin, G. H. and Chen, K. S. (1998). Distributional and inferential properties of the process accuracy and process precision indices. Communications in Statistics – Theory and Methods, 27(4), 985–1000.
74. Pearn, W. L., Shiau, J. H., Tai, Y. T. and Li, M. Y. (2011). Capability assessment for processes with multiple characteristics: a generalization of the popular index Cpk. Quality and Reliability Engineering International, 27(8), 1119–1129.
75. Pearn, W. L. and Shu, M. H. (2003a). Lower confidence bounds with sample size information for Cpm applied to production yield assurance. International Journal of Production Research, 41(15), 3581–3599.
76. Pearn, W. L. and Shu, M. H. (2003b). Manufacturing capability control for multiple power–distribution switch processes based on modified Cpk MPPAC. Microelectronics Reliability, 43(6), 963–975.
77. Pearn, W. L., Shu, M. H. and Hsu, B. M. (2005). Monitoring manufacturing quality for multiple Li–BPIC processes based on capability index Cpmk. International Journal of Production Research, 43(12), 2493–2512.
78. Pearn, W. L. and Wu, C. W. (2006). Production quality and yield assurance for processes with multiple independent characteristics. European Journal of Operational Research, 173(2), 637–647.
79. Sepehr, A. and Zucca, C. (2012). Ranking desertification indicators using TOPSIS algorithm. Natural Hazards, 62(3), 1137–1153.
80. Singh, R. K. and Benyoucef, L. (2011). A fuzzy TOPSIS based approach for e–sourcing. Engineering Applications of Artificial Intelligence, 24(3), 437–448.
81. Singhal, S. C. (1990). A new chart for analyzing multiprocess capability performance. Quality Engineering, 2(4), 379–390.
82. Singhal, S. C. (1991). Multiprocess performance analysis chart (MPPAC) with capability zones. Quality Engineering, 4(1), 75–81.
83. Tian, J., Yu, D., Yu, B. and Ma, S. (2013). A fuzzy TOPSIS model via chi–square test for information source selection. Knowledge-Based Systems, 37, 115–120.84. Wang, C. H. (2005). Constructing multivariate process capability indices for short-run production. The International Journal of Advanced Manufacturing Technology, 26(11–12), 1306–1311.
85. Wang, C. C., Chen, K. S., Wang, C. H. and Chang, P. H. (2011). Application of 6–sigma design system to developing an improvement model for multi–process multi-characteristic product quality. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 225(7), 1205–1216.
86. Wang, X. and Durugbo, C. (2013). Analysing network uncertainty for industrial product-service delivery: A hybrid fuzzy approach. Expert Systems with Applications, 40(11), 4621–4636.
87. Weber, C. A., Current, J. R. and Benton, W. C. (1991). Vender selection criteria and methods. European Journal of Operational Research. 50(1), 2–18.
88. Wei, G., Lin, R., Zhao, X. and Wang, H. (2010). Models for multiple attribute group decision making with 2–tuple linguistic assessment information. International Journal of Computational Intelligence Systems, 3(3), 315–324.
89. Wu, C. W. (2009). Decision-making in testing process performance with fuzzy data. European Journal of Operational Research, 193(2), 499–509.
90. Wu, C. W., Aslam, M. and Jun, C. H. (2012). Variables sampling inspection scheme for resubmitted lots based on the process capability index Cpk. European Journal of Operational Research, 217(3), 560–566.
91. Yu, K. Z. (2012). A measurement model for service capability from the customer perspective. Service Business, 7(4), 563–582.
92. Yue, Z. (2011). A method for group decision–making based on determining weights of decision makers using TOPSIS. Applied Mathematical Modelling, 35(4), 1926–1936.
93. Yurdakul, M. and İc, Y. T. (2009). Analysis of the benefit generated by using fuzzy numbers in a TOPSIS model developed for machine tool selection problems. Journal of Materials Processing Technology, 209(1), 310–317.
94. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
95. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning Part I. Information Sciences, 8(3), 199–249.