Type-2 fuzzy process capability indices for non-normal processes


ŞENVAR Ö. , Kahraman C.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, cilt.27, ss.769-781, 2014 (SCI İndekslerine Giren Dergi) identifier

  • Cilt numarası: 27 Konu: 2
  • Basım Tarihi: 2014
  • Doi Numarası: 10.3233/ifs-131035
  • Dergi Adı: JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
  • Sayfa Sayıları: ss.769-781

Özet

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.