Defects Control Charts Using Interval-Valued Penthagorean Fuzzy Sets

Elif Haktanır*, Cengiz Kahraman

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Defects control charts are one of the attributes control charts which are constructed based on the number of defects on a product or in an inspection unit. Since the term ‘defect’ can be vague due to the subjective decisions of the quality control operator, it cannot be precisely defined. In such cases, fuzzy set theory can be used to add more information and flexibility to attribute based-process control. After the introduction of the ordinary fuzzy sets to the literature, it has been extended to many new types of fuzzy sets. One of the recent extensions, q-rung orthopair fuzzy sets, which is a generalization of intuitionistic fuzzy sets and Pythagorean fuzzy sets, provides a broader space to express ambiguous information, For the q-rung orthopair fuzzy sets the sum of the qth power of the membership degree and the qth power of the non-membership degree is equal to or less than one. In this study, the fifth power of the q-rung orthopair fuzzy sets is used to represent the impreciseness in the construction of the defects control charts and names as penthagorean fuzzy sets. An application in a TV production system is presented as an illustrative example.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısıSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
YayınlayanSpringer
Sayfalar1396-1406
Sayfa sayısı11
ISBN (Basılı)9783030511555
DOI'lar
Yayın durumuYayınlandı - 2021
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Süre: 21 Tem 202023 Tem 2020

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1197 AISC
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot21/07/2023/07/20

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Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

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