Modelo de avaliação de saneamento básico usando Sistema de Inferência Fuzzy

Abstract

This study developed a fuzzy inference model to assess the quality of basic sanitation services. The model analyzed indicators such as water supply, sewage, and waste management, using fuzzy methodology to address uncertainties and generate more accurate diagnoses. The results demonstrated that fuzzy logic is effective in identifying critical points in sanitation, offering solutions to reduce costs and increase efficiency. The model is adaptable to different regional contexts, facilitating its application in other locations and supporting the fulfillment of SDG 6.