Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application
One of the most dominant and feasible technique is called the PHF setting is exist in the circumstances of fuzzy set theory for handling intricate and vague data in genuine life scenario. The perception of PHF setting is massive universal is compared to these assumptions, who must cope with two or t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2022-01-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022039?viewType=HTML |
| _version_ | 1818284437071200256 |
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| author | Zeeshan Ali Tahir Mahmood Hussain AlSalman Bader Fahad Alkhamees Sk. Md. Mizanur Rahman |
| author_facet | Zeeshan Ali Tahir Mahmood Hussain AlSalman Bader Fahad Alkhamees Sk. Md. Mizanur Rahman |
| author_sort | Zeeshan Ali |
| collection | DOAJ |
| description | One of the most dominant and feasible technique is called the PHF setting is exist in the circumstances of fuzzy set theory for handling intricate and vague data in genuine life scenario. The perception of PHF setting is massive universal is compared to these assumptions, who must cope with two or three sorts of data in the shape of singleton element. Under the consideration of the PHF setting, we utilized some SM in the region of the PHF setting are to diagnose the PHFDSM, PHFWDSM, PHFJSM, PHFWJSM, PHFCSM, PHFWCSM, PHFHVSM, PHFWHVSM and demonstrated their flexible parts. Likewise, a lot of examples are exposed under the invented measures based on PHF data in the environment of medical diagnosis to demonstrate the stability and elasticity of the explored works. Finally, the sensitive analysis of the presented works is also implemented and illuminated their graphical structures. |
| first_indexed | 2024-12-13T00:52:47Z |
| format | Article |
| id | doaj.art-bad2e6facf49418c8c3615052335502b |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-13T00:52:47Z |
| publishDate | 2022-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-bad2e6facf49418c8c3615052335502b2022-12-22T00:04:53ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-01-0119185587210.3934/mbe.2022039Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their applicationZeeshan Ali 0Tahir Mahmood 1Hussain AlSalman2Bader Fahad Alkhamees3Sk. Md. Mizanur Rahman41. Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan1. Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan2. Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia3. Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia4. Information and Communication Engineering Technology, School of Engineering Technology and Applied Science, Centennial College, Toronto, CanadaOne of the most dominant and feasible technique is called the PHF setting is exist in the circumstances of fuzzy set theory for handling intricate and vague data in genuine life scenario. The perception of PHF setting is massive universal is compared to these assumptions, who must cope with two or three sorts of data in the shape of singleton element. Under the consideration of the PHF setting, we utilized some SM in the region of the PHF setting are to diagnose the PHFDSM, PHFWDSM, PHFJSM, PHFWJSM, PHFCSM, PHFWCSM, PHFHVSM, PHFWHVSM and demonstrated their flexible parts. Likewise, a lot of examples are exposed under the invented measures based on PHF data in the environment of medical diagnosis to demonstrate the stability and elasticity of the explored works. Finally, the sensitive analysis of the presented works is also implemented and illuminated their graphical structures.https://www.aimspress.com/article/doi/10.3934/mbe.2022039?viewType=HTMLpicture hesitant fuzzy setsvariation co-efficient similarity measuresmedical diagnosis |
| spellingShingle | Zeeshan Ali Tahir Mahmood Hussain AlSalman Bader Fahad Alkhamees Sk. Md. Mizanur Rahman Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application Mathematical Biosciences and Engineering picture hesitant fuzzy sets variation co-efficient similarity measures medical diagnosis |
| title | Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application |
| title_full | Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application |
| title_fullStr | Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application |
| title_full_unstemmed | Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application |
| title_short | Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application |
| title_sort | analysis of medical diagnosis based on variation co efficient similarity measures under picture hesitant fuzzy sets and their application |
| topic | picture hesitant fuzzy sets variation co-efficient similarity measures medical diagnosis |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2022039?viewType=HTML |
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