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An Air Pollution Index based on 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%3A00009282" target="_blank" >RIV/00216275:25410/09:00009282 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Air Pollution Index based on Hierarchical Fuzzy Inference Systems

  • Original language description

    The paper presents the overview of current methods for air quality evaluation, i.e. air stress indices and, especially, air quality indices. 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 air quality indices based on hierarchical fuzzy inference systems. Tree and cascade hierarchical fuzzy inference systems of Mamdani type are proposed as alternative air quality indices. For selected localities,they provide both the resulting class of air quality and the degree of membership to each class.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

  • Article name in the collection

    Energy, Environment, Ecosystems, Development and Landscape Architecture

  • ISBN

    978-960-474-125-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    WSEAS Press

  • Place of publication

    Atény

  • Event location

    Athens, Greece

  • Event date

    Sep 30, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article