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Air Pollution Assessment using Hierarchical Fuzzy Inference Systems
Authors: Hájek Petr | Olej Vladimír
Year: 2009
Type of publication: článek v odborném periodiku
Name of source: Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration
Publisher name: Univerzita Pardubice
Place: Pardubice
Page from-to: 52-61
Titles:
Language Name Abstract Keywords
cze
eng Air Pollution Assessment using Hierarchical Fuzzy Inference Systems The paper presents the current state of air pollution assessment. Air pollution assessment is currently realized by air pollution indices and air stress indices. However, these approaches have some limitations which can be eliminated e.g. using systems based on fuzzy logic. Therefore, we design a hierarchical fuzzy inference system for air pollution assessment using data from Pardubice micro region. air pollution;air quality;fuzzy logic;hierarchical fuzzy inference system