Intuitionistic fuzzy c control charts based on intuitionistic fuzzy ranking method for TIFNs

被引：2
|
作者：
Atalik, Gultekin [1 ]
Senturk, Sevil [2 ]
机构：
[1] Amasya Univ, Dept Architecture, TR-05100 Amasya, Turkey
[2] Eskisehir Tech Univ, Dept Stat, Yunus Emre Campus, TR-26470 Eskisehir, Turkey
来源：
SOFT COMPUTING | 2022年 / 26卷 / 21期
关键词：
Intuitionistic fuzzy sets; Triangular intuitionistic fuzzy numbers; Fuzzy c control charts; Fuzzy ranking method; CONSTRUCTION; LIKELIHOOD; AVERAGE;
D O I：
10.1007/s00500-022-07438-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：11403 / 11407
页数：5
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