Fuzzy System Applied to Search for Feedback on Governance in The Province of Namibe

This project aims to develop a mathematical model based on fuzzy logic for mining citizens' opinions on governance in the Province of Namibe. Fuzzy logic, or fuzzy logic, an extension of Boolean logic, is especially effective in dealing with uncertainty and imprecision in opinions, allowing for a more accurate analysis of citizens' perceptions. The research involved collecting fifteen responses from citizens from the five municipalities of the province, all aged at least eighteen and with a secondary or higher education level. Preliminary results indicate an average government performance of 0.07 on a scale of -1 to 1, with the fisheries sector standing out positively (0.23) and the health (-0.06) and housing (0.02) sectors showing the worst performances. The proposed approach combines data mining with fuzzy logic, allowing for the assignment of degrees of relevance to opinions, which offers a solid basis for the formulation of more informed and effective public policies. The innovative project not only fills gaps in the existing literature, but also offers an advanced methodology for analyzing large volumes of opinion data in natural language (text), whereas classical models only look for binary results such as “0 or 1, belongs or does not belong, True or False” and in this way it would not be possible to evaluate the Government's performance, hence the combination of text mining with fuzzy logic (Nebulous).