Air Quality Modeling by Fuzzy Sets and IF-Sets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F11%3A39892234" target="_blank" >RIV/00216275:25410/11:39892234 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4018/978-1-60960-156-0.ch006" target="_blank" >http://dx.doi.org/10.4018/978-1-60960-156-0.ch006</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4018/978-1-60960-156-0.ch006" target="_blank" >10.4018/978-1-60960-156-0.ch006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Air Quality Modeling by Fuzzy Sets and IF-Sets

Popis výsledku v původním jazyce

The chapter presents a design of parameters for air quality classification of districts into classes according to their pollution. Therefore, the chapter presents basic notions of fuzzy sets introduced by L. A. Zadeh for design hierarchical fuzzy inference systems Mamdani type and IF-sets introduced by K. T. Atanassov for design of hierarchical IF-inference systems Mamdani type. In the next part of the chapter the authors describe air quality modeling by hierarchical fuzzy inference systems, hierarchical IF-inference systems and we analyze the results. Moreover, the chapter describes air quality modeling, the design of membership functions and non-membership functions, if-then rules of individual subsystems and inference mechanism. Further, the authorspresent basic notions of IF-relations and their determination by Kohonen's Self-organizing Feature Maps and K-means algorithms and process air quality classification.

Název v anglickém jazyce

Air Quality Modeling by Fuzzy Sets and IF-Sets

Popis výsledku anglicky

The chapter presents a design of parameters for air quality classification of districts into classes according to their pollution. Therefore, the chapter presents basic notions of fuzzy sets introduced by L. A. Zadeh for design hierarchical fuzzy inference systems Mamdani type and IF-sets introduced by K. T. Atanassov for design of hierarchical IF-inference systems Mamdani type. In the next part of the chapter the authors describe air quality modeling by hierarchical fuzzy inference systems, hierarchical IF-inference systems and we analyze the results. Moreover, the chapter describes air quality modeling, the design of membership functions and non-membership functions, if-then rules of individual subsystems and inference mechanism. Further, the authorspresent basic notions of IF-relations and their determination by Kohonen's Self-organizing Feature Maps and K-means algorithms and process air quality classification.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/SP%2F4I2%2F60%2F07" target="_blank" >SP/4I2/60/07: Indikátory pro hodnocení a modelování internakcí mezi životním prostředím, ekonomikou a sociálními souvislostmi</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Environmental Modeling for Sustainable Regional Development : System Approaches and Advanced Methods

ISBN

978-1-60960-156-0

Počet stran výsledku

26

Strana od-do

118-143

Počet stran knihy

492

Název nakladatele

IGI Global

Místo vydání

Hershey

Kód UT WoS kapitoly

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