Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment
Due to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside the health and medical system helps to minimize fatalities. Timely cancer detection enhances the likelihood of effective therapy. Cancer risk assessment...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/15/1/205 |
| _version_ | 1797436856798806016 |
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| author | Rukhsana Kausar Hafiz Muhammad Athar Farid Muhammad Riaz Nazmiye Gonul Bilgin |
| author_facet | Rukhsana Kausar Hafiz Muhammad Athar Farid Muhammad Riaz Nazmiye Gonul Bilgin |
| author_sort | Rukhsana Kausar |
| collection | DOAJ |
| description | Due to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside the health and medical system helps to minimize fatalities. Timely cancer detection enhances the likelihood of effective therapy. Cancer risk assessment is important for legal and regulatory reasons, for cancer prevention, and to avoid the risks. The approach for assessing cancer risk based on the q-rung orthopair fuzzy set (q-ROFS) is described. The technique is predicated on a multifactor evaluation of the likelihood of a cancerous. q-ROFS is a robust approach for modeling uncertainties in multicriteria decision making (MCDM). The combinative distance-based assessment (CODAS) technique integrates two separate approaches, namely the “simple additive weighting” (SAW) method and the “weighted product method (WPM)”. In this study, the CODAS approach is extended to the q-rung orthopair fuzzy framework with application to cancer risk assessment. Additionally, the symmetry of the optimal decision in cancer risk assessment is carried out by a comparison analysis of the suggested model with some existing models. |
| first_indexed | 2024-03-09T11:07:38Z |
| format | Article |
| id | doaj.art-ee6813ab4c86495da07281de67fdf7a1 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-09T11:07:38Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-ee6813ab4c86495da07281de67fdf7a12023-12-01T00:53:27ZengMDPI AGSymmetry2073-89942023-01-0115120510.3390/sym15010205Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk AssessmentRukhsana Kausar0Hafiz Muhammad Athar Farid1Muhammad Riaz2Nazmiye Gonul Bilgin3Department of Mathematics, University of the Punjab, Lahore 54590, PakistanDepartment of Mathematics, University of the Punjab, Lahore 54590, PakistanDepartment of Mathematics, University of the Punjab, Lahore 54590, PakistanDepartment of Mathematics, Zonguldak Bulent Ecevit University, Zonguldak 67100, TurkeyDue to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside the health and medical system helps to minimize fatalities. Timely cancer detection enhances the likelihood of effective therapy. Cancer risk assessment is important for legal and regulatory reasons, for cancer prevention, and to avoid the risks. The approach for assessing cancer risk based on the q-rung orthopair fuzzy set (q-ROFS) is described. The technique is predicated on a multifactor evaluation of the likelihood of a cancerous. q-ROFS is a robust approach for modeling uncertainties in multicriteria decision making (MCDM). The combinative distance-based assessment (CODAS) technique integrates two separate approaches, namely the “simple additive weighting” (SAW) method and the “weighted product method (WPM)”. In this study, the CODAS approach is extended to the q-rung orthopair fuzzy framework with application to cancer risk assessment. Additionally, the symmetry of the optimal decision in cancer risk assessment is carried out by a comparison analysis of the suggested model with some existing models.https://www.mdpi.com/2073-8994/15/1/205cancer riskq-rung orthopair fuzzyCODAS techniquesymmetrical analysis |
| spellingShingle | Rukhsana Kausar Hafiz Muhammad Athar Farid Muhammad Riaz Nazmiye Gonul Bilgin Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment Symmetry cancer risk q-rung orthopair fuzzy CODAS technique symmetrical analysis |
| title | Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment |
| title_full | Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment |
| title_fullStr | Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment |
| title_full_unstemmed | Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment |
| title_short | Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment |
| title_sort | innovative codas algorithm for q rung orthopair fuzzy information and cancer risk assessment |
| topic | cancer risk q-rung orthopair fuzzy CODAS technique symmetrical analysis |
| url | https://www.mdpi.com/2073-8994/15/1/205 |
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