Determination of an Atmospheric Condition Index with Evidential Annotated Paraconsistent Logic Tools

• Autor(a) principal: Carvalho, Fábio Romeu de
• Data de Publicação: 2022
• Outros Autores: Abe, Jair Minoro, Bonilla, Silvia Helena, Almeida, Cecilia Maria Villas Boas de, Giannetti, Biagio Fernando
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Research, Society and Development
• Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/38428
• topic: Atmospheric condition index; Expert system; Paraconsistent logic; Degree of certainty; Degree of uncertainty.; Índice de condição atmosférica; Sistema especialista; Lógica paraconsistente; Grau de certeza; Grau de incerteza.; Índice de condición atmosférica; Sistema experto; Lógica paraconsistente; Grado de certeza; Grado de incertidumbre.

The objective of this article is to propose the creation of an atmospheric condition index using Artificial Intelligence tools. The atmospheric condition can be obtained from parameters that the scientific communities – environment, health, labor safety – adopt for the different pollutants in the atmosphere. Parameters were obtained from the scientific literature and specialists, who were consulted about the objective data to allow an analysis through an expert system. As the data are from highly imprecise sources, classic-logic (binary) systems do not fit. We opted to use the Evidential Annotated Paraconsistent Logic. This non-classical logic naturally accommodates imprecisions, contradictions, and paracompleteness without the danger of trivialization. Thus, the Evidential Annotated Paraconsistent Logic can be ideally adopted as a valuable tool for controlling atmospheric conditions, especially in large metropolises.