Predicting Femicide in Veracruz: A Fuzzy Logic Approach with the Expanded MFM-FEM-VER-CP-2024 Model
This addresses the urgent issue of gender-based violence for communities in Veracruz, but it is incremental as it builds on an existing model.
The authors tackled the problem of predicting femicide risk in Veracruz, Mexico, by developing a fuzzy logic model called MFM_FEM_VER_CP_2024, which improved predictive accuracy through refined membership functions and new rules.
The article focuses on the urgent issue of femicide in Veracruz, Mexico, and the development of the MFM_FEM_VER_CP_2024 model, a mathematical framework designed to predict femicide risk using fuzzy logic. This model addresses the complexity and uncertainty inherent in gender based violence by formalizing risk factors such as coercive control, dehumanization, and the cycle of violence. These factors are mathematically modeled through membership functions that assess the degree of risk associated with various conditions, including personal relationships and specific acts of violence. The study enhances the original model by incorporating new rules and refining existing membership functions, which significantly improve the model predictive accuracy.