Product Acceptance Determination with Measurement Error Using the Neutrosophic Statistics
Author
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The variable data is obtained from the measurement process which is not fully complete or clear in nature due to measurement error.
The neutrosophic statistics which is the extension of classical statistics can be applied in the industry for the lot senescing when observations or parameters are uncertain or indeterminate or unclear.
In this manuscript, a new sampling plan for the measurement error using the neutrosophic statistics is designed.
The proposed sampling plan has two neutrosophic parameters, namely, sample size and acceptance number.
The neutrosophic operating function is also given.
The neutrosophic plan parameters will be determined through the neutrosophic optimization problem.
Some tables are given for some specified parameters.
From the comparison study, it is concluded that the proposed sampling plan is more flexible, adequate, and effective in the uncertainty environment as compared to the existing sampling plan under the classical statistics.
A real example is given for the illustration purpose.
American Psychological Association (APA)
Aslam, Muhammad. 2019. Product Acceptance Determination with Measurement Error Using the Neutrosophic Statistics. Advances in Fuzzy Systems،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1118071
Modern Language Association (MLA)
Aslam, Muhammad. Product Acceptance Determination with Measurement Error Using the Neutrosophic Statistics. Advances in Fuzzy Systems No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1118071
American Medical Association (AMA)
Aslam, Muhammad. Product Acceptance Determination with Measurement Error Using the Neutrosophic Statistics. Advances in Fuzzy Systems. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1118071
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118071