A New Sampling Plan Using Neutrosophic Process Loss Consideration
The theory of classical statistics assumes crisp, certain, and clear observations/parameters in engineering applications. However, in such engineering applications, due to their complex functions, it may not possible to obtain clear or crisp values of certain parameters. So, there is a chance of obt...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-04-01
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| Series: | Symmetry |
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| Online Access: | http://www.mdpi.com/2073-8994/10/5/132 |
| _version_ | 1811187588064608256 |
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| author | Muhammad Aslam |
| author_facet | Muhammad Aslam |
| author_sort | Muhammad Aslam |
| collection | DOAJ |
| description | The theory of classical statistics assumes crisp, certain, and clear observations/parameters in engineering applications. However, in such engineering applications, due to their complex functions, it may not possible to obtain clear or crisp values of certain parameters. So, there is a chance of obtaining indeterminate, imprecise, vague, and incomplete parameters. In this situation, neutrosophic statistics can be applied, which is the generalization of classical statistics. This is reduced to classical statistics when no parameters are found to be indeterminate, imprecise, vague, or incomplete in actual practice. In this paper, we design a new sampling plan using the neutrosophic approach for the process loss function. The neutrosophic non-linear problem is given and applied to determine the neutrosophic plan parameters of the proposed sampling plan. A table is given and discussed with the help of factory data. |
| first_indexed | 2024-04-11T14:06:01Z |
| format | Article |
| id | doaj.art-9096f8b7d3fa4cd1b4fb1d17a4e32cb4 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T14:06:01Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-9096f8b7d3fa4cd1b4fb1d17a4e32cb42022-12-22T04:19:53ZengMDPI AGSymmetry2073-89942018-04-0110513210.3390/sym10050132sym10050132A New Sampling Plan Using Neutrosophic Process Loss ConsiderationMuhammad Aslam0Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi ArabiaThe theory of classical statistics assumes crisp, certain, and clear observations/parameters in engineering applications. However, in such engineering applications, due to their complex functions, it may not possible to obtain clear or crisp values of certain parameters. So, there is a chance of obtaining indeterminate, imprecise, vague, and incomplete parameters. In this situation, neutrosophic statistics can be applied, which is the generalization of classical statistics. This is reduced to classical statistics when no parameters are found to be indeterminate, imprecise, vague, or incomplete in actual practice. In this paper, we design a new sampling plan using the neutrosophic approach for the process loss function. The neutrosophic non-linear problem is given and applied to determine the neutrosophic plan parameters of the proposed sampling plan. A table is given and discussed with the help of factory data.http://www.mdpi.com/2073-8994/10/5/132crisp valuesfuzzy approachneutrosophic non-linear problemrisksprocess loss function |
| spellingShingle | Muhammad Aslam A New Sampling Plan Using Neutrosophic Process Loss Consideration Symmetry crisp values fuzzy approach neutrosophic non-linear problem risks process loss function |
| title | A New Sampling Plan Using Neutrosophic Process Loss Consideration |
| title_full | A New Sampling Plan Using Neutrosophic Process Loss Consideration |
| title_fullStr | A New Sampling Plan Using Neutrosophic Process Loss Consideration |
| title_full_unstemmed | A New Sampling Plan Using Neutrosophic Process Loss Consideration |
| title_short | A New Sampling Plan Using Neutrosophic Process Loss Consideration |
| title_sort | new sampling plan using neutrosophic process loss consideration |
| topic | crisp values fuzzy approach neutrosophic non-linear problem risks process loss function |
| url | http://www.mdpi.com/2073-8994/10/5/132 |
| work_keys_str_mv | AT muhammadaslam anewsamplingplanusingneutrosophicprocesslossconsideration AT muhammadaslam newsamplingplanusingneutrosophicprocesslossconsideration |