A Review and Perspective on Neutrosophic Statistical Process Monitoring Methods
Author:
Affiliation:
1. Department of Statistics, Virginia Tech, Blacksburg, VA, USA
2. Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USA
Funder
Virginia Tech Open Access Subvention Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09893805.pdf?arnumber=9893805
Reference66 articles.
1. Multivariate control chart based on neutrosophic hotelling T2 statistics and its application;wibawati;Jurnal Teori dan Aplikasi Matematika,2022
2. Multivariate Analysis under Indeterminacy: An Application to Chemical Content Data
3. Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
4. Control Chart for Monitoring Variation Using Multiple Dependent State Sampling Under Neutrosophic Statistics
5. Design of S-control chart for neutrosophic data: An application to manufacturing industry
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