Affiliations: Department of Industrial Engineering, Marmara University, Goztepe, Istanbul, Turkey | Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey
Note: [] Corresponding author. Ozlem Senvar, Department of Industrial Engineering, Marmara University, 34722 Goztepe, Istanbul, Turkey. Tel.: +90 5436050105; E-mail: ozlemsenvar@gmail.com
Abstract: We developed type-2 fuzzy percentile-based standard PCIs for non-normal data via Clements' method. For modeling uncertainty and imprecision of data, interval type-2 fuzzy sets are utilized. To prove usefulness and applicability of the proposed type-2 fuzzy percentile-based standard PCIs, a numerical illustration is performed for the data randomly generated from Log-normal distribution. The results show that in comparison with their crisp types, the proposed type-2 fuzzy percentile-based standard PCIs for non-normal processes are more informative, sensitive and flexible to evaluate the process performance of the industrial processes.
