Environmental Modelling Based on Rough-Fuzzy Approach

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 242)

Abstract

This article deals with the synthesis and analysis of the air quality (AQ) model in the selected localities of the Czech Republic (CR). The model is aimed at dust particles and weather character. Dust particles were selected, because they create an important part of AQ and then they also carry the risk of respiration diseases. The model is created on the basis of hybridization of rough set theory (RST) and fuzzy sets (FSs) theory. Next, it will be called as a rough-fuzzy approach (RFA). The classification results were compared with classifier based on RST, decision trees (DTs) and neural networks (NNs).

Keywords

air quality classifier fuzzy sets rough set theory rough-fuzzy approach 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of System Engineering and Informatics, Faculty of Economics and AdministrationUniversity of PardubicePardubiceCzech Republic

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