Optimizing Water Allocation and Industry Structure: A Multi-Scenario Comparison by Using Interval Fuzzy Multi-Level Programming Model

This study proposes an interval fuzzy multi-level programming model to address the challenges of balancing water resource allocation and industrial structure optimization, particularly those arising from computational complexity and limited data sample selection. Integrating interval fuzzy satisfact...

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Veröffentlicht in:	Water resources management Jg. 39; H. 15; S. 8017 - 8035
Hauptverfasser:	Ma, Chunxiao, Bai, Ruxin, Wang, Shifu, Yan, Zhiqiang, Shi, Haochen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.12.2025 Springer Nature B.V
Schlagworte:	Atmospheric Sciences Civil Engineering Decision making Domestic water Earth and Environmental Science Earth Sciences Economic development Efficiency Environment Fuzzy sets Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology/Water Resources Industrial production Linear programming Mathematical programming Objectives Optimization Peak demand Planning Pollutants Programming Resource allocation Supply & demand Water allocation Water consumption Water resources Water scarcity Water shortages Water supply Water use Industrial Structure Optimization Interval Fuzzy Multi-level Programming Model Multi-scenario Comparative Analysis Water Resource Allocation Application of Complex Models with Large-scale Data
ISSN:	0920-4741, 1573-1650
Online-Zugang:	Volltext
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