2026-06-11T00:14:46.178Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:8912 2022-06-12T18:27:50Z 1

Linear Fuzzy Space Based Framework for Air Quality Assessment 2022 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/8912 https://www.thinkmind.org/index.php?view=article&articleid=intelli_2022_1_50_60019 E. Pap Ђ. Обрадовић З. Коњовић И. Радосављевић Air quality is one of the most critical issues humankind is facing today. There are diverse types of indices measuring the air pollution which are mainly based on aggregation functions. This paper proposes a model aimed at forecasting aggregated air pollution indices based on our theory of the linear fuzzy space. The proposed original model consists essentially of two sub models. The first one models concentrations of pollutants, while the second one models Air Quality Index (AQI). We model concentrations of pollutants by regression (XGBoost and deep neural network) utilizing fuzzy time series of two groups of data (measured concentrations and meteorological parameters). Multi-contaminant air quality index is modeled as an aggregation of Pollutant Standard Index (PSI) obtained via fuzzy linear transformation defined by fuzzy breakpoints. Some preliminary results are presented indicating model performance in terms of prediction mean absolute errors. conferenceObject 24 29 INTELLI 2022 : The Eleventh International Conference on Intelligent Systems and Applications, IARIA, 2022. ISBN: 978-1-61208-977-5