New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications
The neutrosophic approach is a potential area to provide a novel framework for dealing with uncertain data. This study aims to introduce the neutrosophic Maxwell distribution (MD̃ ) for dealing with imprecise data. The proposed notions are presented in such a manner that the proposed model may be us...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2023-01-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | http://fs.unm.edu/NSS/NeutrosophicMaxwellDistribution18.pdf |
| _version_ | 1797825324222775296 |
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| author | Faisal Shah Muhammad Aslam Zahid Khan |
| author_facet | Faisal Shah Muhammad Aslam Zahid Khan |
| author_sort | Faisal Shah |
| collection | DOAJ |
| description | The neutrosophic approach is a potential area to provide a novel framework for dealing with uncertain data. This study aims to introduce the neutrosophic Maxwell distribution (MD̃ ) for dealing with imprecise data. The proposed notions are presented in such a manner that the proposed model may be used in a variety of circumstances involving indeterminate, ambiguous, and fuzzy data. The suggested distribution is particularly useful in statistical process control (SPC) for processing uncertain values in data collection. The existing formation of VSQ-chart is incapable of addressing uncertainty on the quality variables being investigated. The notion of neutrosophic VSQ chart (ṼSQ) is developed based on suggested neutrosophic distribution. The parameters of the suggested ṼSQ-chart and other performance indicators, such as neutrosophic power curve (PC̃), neutrosophic characteristic curve (CC̃) and neutrosophic run length (RL̃) are established. The performance of the ṼSQ-chart under uncertain environment is also compared to the performance of the conventional model. The comparative findings depict that the proposed ṼSQ-chart outperforms in consideration of neutrosophic indicators. Finally, the implementation procedure for real data on the COVID-19 incubation period is explored to support the theoretical part of the proposed model. |
| first_indexed | 2024-03-13T10:52:25Z |
| format | Article |
| id | doaj.art-83634da4f17f4f49a39cbe7a18d53d7e |
| institution | Directory Open Access Journal |
| issn | 2331-6055 2331-608X |
| language | English |
| last_indexed | 2024-03-13T10:52:25Z |
| publishDate | 2023-01-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj.art-83634da4f17f4f49a39cbe7a18d53d7e2023-05-17T10:31:21ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2023-01-015329731610.5281/zenodo.7536033New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making ApplicationsFaisal ShahMuhammad AslamZahid KhanThe neutrosophic approach is a potential area to provide a novel framework for dealing with uncertain data. This study aims to introduce the neutrosophic Maxwell distribution (MD̃ ) for dealing with imprecise data. The proposed notions are presented in such a manner that the proposed model may be used in a variety of circumstances involving indeterminate, ambiguous, and fuzzy data. The suggested distribution is particularly useful in statistical process control (SPC) for processing uncertain values in data collection. The existing formation of VSQ-chart is incapable of addressing uncertainty on the quality variables being investigated. The notion of neutrosophic VSQ chart (ṼSQ) is developed based on suggested neutrosophic distribution. The parameters of the suggested ṼSQ-chart and other performance indicators, such as neutrosophic power curve (PC̃), neutrosophic characteristic curve (CC̃) and neutrosophic run length (RL̃) are established. The performance of the ṼSQ-chart under uncertain environment is also compared to the performance of the conventional model. The comparative findings depict that the proposed ṼSQ-chart outperforms in consideration of neutrosophic indicators. Finally, the implementation procedure for real data on the COVID-19 incubation period is explored to support the theoretical part of the proposed model.http://fs.unm.edu/NSS/NeutrosophicMaxwellDistribution18.pdfneutrosophic probabilitymaxwell distributionmaxwell control chart |
| spellingShingle | Faisal Shah Muhammad Aslam Zahid Khan New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications Neutrosophic Sets and Systems neutrosophic probability maxwell distribution maxwell control chart |
| title | New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications |
| title_full | New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications |
| title_fullStr | New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications |
| title_full_unstemmed | New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications |
| title_short | New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications |
| title_sort | new control chart based on neutrosophic maxwell distribution with decision making applications |
| topic | neutrosophic probability maxwell distribution maxwell control chart |
| url | http://fs.unm.edu/NSS/NeutrosophicMaxwellDistribution18.pdf |
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