Fuzzy estimation of process accuracy index

Cengiz Kahraman, İhsan Kaya

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Although process capability indices (PCIs), which are very useful statistical values to summarize process’ dispersion and location, have usability in a wide range, they have some limitations because of crisp definitions of the parameters. Crisp definitions of PCIs cause handicaps for a deep and flexible analysis on process capability analysis (PCA). The fuzzy set theory can be used effectively to add more information and flexibility to PCIs. In this paper the one of the most used PCIs which is called process accuracy index (Ca) is analyzed based on fuzzy specification limits and fuzzy process mean. The fuzzy formulations of the index Ca are derived for triangular (TFN) and trapezoidal fuzzy numbers (TrFN).

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıComputational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010
EditörlerDa Ruan, Etienne E. Kerre, Da Ruan, Guoqing Chen, Tianrui Li, Yang Xu
YayınlayanWorld Scientific Publishing Co. Pte Ltd
Sayfalar215-221
Sayfa sayısı7
ISBN (Elektronik)9814324698, 9789814324694
DOI'lar
Yayın durumuYayınlandı - 2010
EtkinlikComputational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010 - Emei, Chengdu, China
Süre: 2 Ağu 20104 Ağu 2010

Yayın serisi

AdıComputational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010

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???event.eventtypes.event.conference???Computational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010
Ülke/BölgeChina
ŞehirEmei, Chengdu
Periyot2/08/104/08/10

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Publisher Copyright:
© 2010 by World Scientific Publishing Co. Pte. Ltd.

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