Integrated multi-objective chance-constrained fuzzy interval linear programming model with principal component analysis for optimizing agricultural water resource management under uncertainties

This study addresses the pivotal challenge of water resource allocation in urban environments by introducing a novel approach – a multi-objective chance-constrained fuzzy interval linear programming model integrated with principal component analysis (PCA). This innovative model aims to alleviate sub...

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Vydané v:	Water science & technology. Water supply Ročník 24; číslo 7; s. 2427 - 2450
Hlavní autori:	Yin, Ruoyu, Jin, Lei, Fu, Haiyan, Fan, Yurui, Zhang, Xi, Wang, Li
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IWA Publishing 01.07.2024
Predmet:	chance constraint multi-objective principal component analysis water resources
ISSN:	1606-9749, 1607-0798
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