Evolution of Fuzzy Logic Model to Investigate HIV Threats
Keywords:
Fuzzy logic, HIV, Behavioral pattern, Threat analysis, Reliability.Abstract
This research develops HIV threat analysis model techniques for HIV risk analysis in a population for making informed decisions. The HIV disease is on the increase, and HIV/AIDS awareness may not be issued without actual threat investigation, to find out people’s behavioral patterns. The motivation for this study is to find the solution to challenges in HIV infection. Hence, there is a need to develop a model that would investigate threats associated with the disease. This research investigates behavioral and demographic data to develop a fuzzy-based model. HIV reduces immunity against diseases that people with a strong immune system can ward off. This paper compares the results of the techniques tested on data obtained from the Virology Department of Obafemi Awolowo University Teaching Hospital. The techniques analyzed with MATLAB 2018b are adopted, and the triangular membership function was used for the system. The evaluation of the fuzzy model was achieved by comparing the technique with two past methods. This research indicates that the fuzzy logic technique will lead to getting the most accurate result.
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References
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