Air Pollution Assessment using Hierarchical Fuzzy Inference Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F09%3A00009284" target="_blank" >RIV/00216275:25410/09:00009284 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Air Pollution Assessment using Hierarchical Fuzzy Inference Systems

Original language description

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.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

—

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)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Papers of the University of Pardubice, Series D

ISSN

1211-555X

e-ISSN

—

Volume of the periodical

14

Issue of the periodical within the volume

15

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

—

UT code for WoS article

—

EID of the result in the Scopus database

—