Sistema de Apoio à Decisão Baseado em Inteligência Artificial para Gerenciamento de Resíduos Sólidos

• Ano de defesa: 2023
• Autor(a) principal: João Marcos Soares Anjos
• Orientador(a): Marcio Luiz Magri Kimpara
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Fundação Universidade Federal de Mato Grosso do Sul
• País: Brasil
• Palavras-chave em Português: Inteligência artificial, Aprendizado de máquina, Sistema de apoio à decisão, Gerenciamento de resíduos sólidos, Caracterização de resíduos
• Link de acesso: https://repositorio.ufms.br/handle/123456789/5975

This work describes the development of a decision support system to assist in the management of urban solid waste. The system was created based on artificial intelligence/machine learning algorithms, which makes it capable of making accurate predictions about the quantity and characterization of waste generated, according to the National Solid Waste Policy (PNRS). To create this system, a field research was conducted in the city of Campo Grande, Mato Grosso do Sul, where data on solid waste generation in 158 households were collected. The collected data was used to build prediction models through regression and classification techniques. The developed models were used to estimate the quantity of solid waste generated per household and their characterization according to the PNRS guidelines. The use of these models allowed the decision support system to provide important and accurate information on solid waste management. The decision support system was also designed to be scalable and adaptable, allowing its implementation in other cities and regions. The successful implementation of this decision support system can help improve the management of urban solid waste throughout the country, which contributes to environmental preservation and promoting sustainability.