Please use this identifier to cite or link to this item:
Title: Intuitionistic fuzzy c control charts based on intuitionistic fuzzy ranking method for TIFNs
Authors: Atalık, Gültekin
Şentürk, Sevil
Keywords: Intuitionistic fuzzy sets
Triangular intuitionistic fuzzy numbers
Fuzzy c control charts
Fuzzy ranking method
Issue Date: 2022
Publisher: Springer
Abstract: Control charts are used to control the process in order to supply products with requested properties. Classical control charts are inadequate to control the process that contain vagueness and hesitancy. In this case, extensions of fuzzy set theory could be applied to the control charts. In this study, a novel intuitionistic fuzzy c control chart based on a ranking method for triangular intuitionistic fuzzy numbers is proposed for the first time in the literature. The novelty of the study is to use a novel ranking method to give all decisions about the process in a fuzzy environment for triangular intuitionistic fuzzy numbers. An application is implemented on a data set, and results are interpreted.
ISSN: 1432-7643
Appears in Collections:İstatistik Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

Show full item record

CORE Recommender

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.