Air Quality Indices and their Modelling by Hierarchical Fuzzy Inference Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F09%3A00009277" target="_blank" >RIV/00216275:25410/09:00009277 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Air Quality Indices and their Modelling by Hierarchical Fuzzy Inference Systems
Original language description
Traditional air quality indices are determined as mean values of selected air pollutants. Thus, air quality evaluation depends on strictly given limits without taking into account specific local conditions and synergic relations between air pollutants and other meteorological factors. The stated limitations can be eliminated e.g. using systems based on fuzzy logic. Therefore, the paper presents a design of an air pollution index based on hierarchical fuzzy inference systems.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/SP%2F4I2%2F60%2F07" target="_blank" >SP/4I2/60/07: Indicators for assessment and simulation of interactions among environment, economics and social connections</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS Transactions on Environment and Development
ISSN
1790-5079
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
10
Country of publishing house
GR - GREECE
Number of pages
12
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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