Home // INTELLI 2022, The Eleventh International Conference on Intelligent Systems and Applications // View article

Linear Fuzzy Space Based Framework for Air Quality Assessment

Authors:
Endre Pap
Đorđe Obradović
Zora Konjović
Ivan Radosavljević

Keywords: fuzzy set; linear fuzzy space; AQI index; aggregation operator.

Abstract:
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.

Pages: 24 to 29

Copyright: Copyright (c) IARIA, 2022

Publication date: May 22, 2022

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-977-5

Location: Venice, Italy

Dates: from May 22, 2022 to May 26, 2022