An Application of Fuzzy Multiple Linear Regression in Biological Paradigm
The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information j...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/1162464 |
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| author | Saima Mustafa Shumaila Ghaffar Murrium Bibi Muhammad Ghaffar Khan Qaisara Praveen Harish Garg Mahamane Saminou |
| author_facet | Saima Mustafa Shumaila Ghaffar Murrium Bibi Muhammad Ghaffar Khan Qaisara Praveen Harish Garg Mahamane Saminou |
| author_sort | Saima Mustafa |
| collection | DOAJ |
| description | The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Information is accumulated on dengue fever through the survey. This paper is centered on the comparison of the crisp method with fuzzy multiple linear regression, and then, the utilization of a fuzzy multiple regression method is explained after the comparison. We have used multiple regression and then converted the said technique into three fuzzy cases. The effectiveness of the fuzzy multiple regression model is measured by numerical computation and comparison of both techniques. 2020 Mathematics Subject Classification. Primary 30C45; 30C50; 30C80; Secondary 11B65, 47B38. |
| format | Article |
| id | doaj-art-439eb51c495b40d8b2f981fb9ffd6583 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-439eb51c495b40d8b2f981fb9ffd65832025-08-20T03:35:56ZengWileyComplexity1099-05262022-01-01202210.1155/2022/1162464An Application of Fuzzy Multiple Linear Regression in Biological ParadigmSaima Mustafa0Shumaila Ghaffar1Murrium Bibi2Muhammad Ghaffar Khan3Qaisara Praveen4Harish Garg5Mahamane Saminou6Department of Mathematics and StatisticsDepartment of Mathematics and StatisticsDepartment of Mathematics and StatisticsInstitute of Numerical SciencesDivision of Continuing EducationSchool of MathematicsDepartment of Mathematics and Computer ScienceThe regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Information is accumulated on dengue fever through the survey. This paper is centered on the comparison of the crisp method with fuzzy multiple linear regression, and then, the utilization of a fuzzy multiple regression method is explained after the comparison. We have used multiple regression and then converted the said technique into three fuzzy cases. The effectiveness of the fuzzy multiple regression model is measured by numerical computation and comparison of both techniques. 2020 Mathematics Subject Classification. Primary 30C45; 30C50; 30C80; Secondary 11B65, 47B38.http://dx.doi.org/10.1155/2022/1162464 |
| spellingShingle | Saima Mustafa Shumaila Ghaffar Murrium Bibi Muhammad Ghaffar Khan Qaisara Praveen Harish Garg Mahamane Saminou An Application of Fuzzy Multiple Linear Regression in Biological Paradigm Complexity |
| title | An Application of Fuzzy Multiple Linear Regression in Biological Paradigm |
| title_full | An Application of Fuzzy Multiple Linear Regression in Biological Paradigm |
| title_fullStr | An Application of Fuzzy Multiple Linear Regression in Biological Paradigm |
| title_full_unstemmed | An Application of Fuzzy Multiple Linear Regression in Biological Paradigm |
| title_short | An Application of Fuzzy Multiple Linear Regression in Biological Paradigm |
| title_sort | application of fuzzy multiple linear regression in biological paradigm |
| url | http://dx.doi.org/10.1155/2022/1162464 |
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