Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab
“Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manua...
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| التنسيق: | أطروحة |
| اللغة: | English |
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2022
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| الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/58873/1/58873.pdf |
| الوسوم: |
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my-uitm-ir.588732022-07-28T08:09:35Z Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab 2022-01 Abdul Wahab, NurHazirah Electronic Computers. Computer Science Database management Fuzzy logic “Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manually may occur some human error which make the diagnosis dengue is inaccurate. This paper is presents the used of fuzzy expert system in diagnosis the disease with the objectives to identify clinically-known dengue symptoms, develop the diagnosis system using MATLAB and Fuzzy Logic Toolbox, and classify the dengue symptoms from the information received. The methodology of this paper is waterfall model which is life cycle of the system development (SDLC). Moreover, the paper is about the development of system to help doctor to diagnosis dengue symptoms more efficient. The development of dengue diagnosis using fuzzy expert will improve the work capability for all the doctors because the system help in the diseases analysis with more accurate and efficient. The technique Mamdani fuzzy inferences is the most suitable in development of the system because this system need output membership function. 2022-01 Thesis https://ir.uitm.edu.my/id/eprint/58873/ https://ir.uitm.edu.my/id/eprint/58873/1/58873.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| topic |
Electronic Computers Computer Science Database management Fuzzy logic |
| spellingShingle |
Electronic Computers Computer Science Database management Fuzzy logic Abdul Wahab, NurHazirah Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab |
| description |
“Dengue is a mosquito-borne tropical disease caused by the dengue virus. Dengue is spread by several species of female mosquitoes of the Aedes genus which is Aedes aegypti.” However, the dengue symptoms have many similarities with other diseases likes malaria. In addition, the diagnosis dengue manually may occur some human error which make the diagnosis dengue is inaccurate. This paper is presents the used of fuzzy expert system in diagnosis the disease with the objectives to identify clinically-known dengue symptoms, develop the diagnosis system using MATLAB and Fuzzy Logic Toolbox, and classify the dengue symptoms from the information received. The methodology of this paper is waterfall model which is life cycle of the system development (SDLC). Moreover, the paper is about the development of system to help doctor to diagnosis dengue symptoms more efficient. The development of dengue diagnosis using fuzzy expert will improve the work capability for all the doctors because the system help in the diseases analysis with more accurate and efficient. The technique Mamdani fuzzy inferences is the most suitable in development of the system because this system need output membership function. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Abdul Wahab, NurHazirah |
| author_facet |
Abdul Wahab, NurHazirah |
| author_sort |
Abdul Wahab, NurHazirah |
| title |
Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab |
| title_short |
Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab |
| title_full |
Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab |
| title_fullStr |
Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab |
| title_full_unstemmed |
Diagnosis of dengue using fuzzy expert / NurHazirah Abdul Wahab |
| title_sort |
diagnosis of dengue using fuzzy expert / nurhazirah abdul wahab |
| granting_institution |
Universiti Teknologi MARA, Perak |
| granting_department |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2022 |
| url |
https://ir.uitm.edu.my/id/eprint/58873/1/58873.pdf |
| _version_ |
1783735005386637312 |