Air Pollution Assessment using Intuitionistic 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%3A00009285" target="_blank" >RIV/00216275:25410/09:00009285 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Air Pollution Assessment using Intuitionistic Hierarchical Fuzzy Inference Systems
Original language description
The paper presents the basic notions of intuitionistic fuzzy sets and intuitionistic fuzzy inference systems. Further, there is a design of intuitionistic hierarchical fuzzy inference system of Mamdani type for air pollution assessment. The proposed approach is based on the fact that air pollution assessment is rather subjective. Therefore, a generalization of fuzzy logic seems to be suitable for air pollution assessment.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
Name of the periodical
Scientific Papers of the University of Pardubice, Series D
ISSN
1211-555X
e-ISSN
—
Volume of the periodical
15
Issue of the periodical within the volume
15
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
—
UT code for WoS article
—
EID of the result in the Scopus database
—