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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Veröffentlicht in:	Water science & technology. Water supply Jg. 24; H. 7; S. 2427 - 2450
Hauptverfasser:	Yin, Ruoyu, Jin, Lei, Fu, Haiyan, Fan, Yurui, Zhang, Xi, Wang, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IWA Publishing 01.07.2024
Schlagworte:	chance constraint multi-objective principal component analysis water resources
ISSN:	1606-9749, 1607-0798
Online-Zugang:	Volltext
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