Air pollution concentration fuzzy evaluation based on evidence theory and the K-nearest neighbor algorithm

Air pollution concentration fuzzy evaluation based on evidence theory and the K-nearest neighbor algorithm

Background: Air pollution, characterized by complex spatiotemporal dynamics and inherent uncertainty, poses significant challenges in accurate air quality prediction, and current methodologies often fail to adequately address these complexities.Objective: This study presents a novel fuzzy modeling a...

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Bibliographic Details
Main Authors:	Bian Chao, Huang Guang Qiu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-04-01
Series:	Frontiers in Environmental Science
Subjects:	evidence theory K-nearest neighbor air pollution concentration fusion fuzzy evaluation method basic probability assignment
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2024.1243962/full

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