Implementation of intuitionistic fuzzy inference systems to assess air quality forecast: Case of Malaysia

Artificial intelligence models have been widely applied in real-life problems due to its flexibility to adapt the existence of crucial conflicts within the problems. Prompt development of alternative methods such as the data-driven models cover major drawback of conventional methods regarding the is...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Pauzi, Herrini Mohd, Abdullah, Lazim
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Air pollution Air quality Atmospheric models Fuzzy sets Fuzzy systems Inference Neural networks Outdoor air quality Particulate emissions Quality assessment
Online-Zugang:	Volltext
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