A Fuzzy Robust Nonlinear Programming Model for Stream Water Quality Management

An interval-parameter fuzzy robust nonlinear programming (IFRNP) approach was developed for stream water quality management under uncertainty. The interval and fuzzy robust programming methods were incorporated within a general framework to address uncertainties associated with the nonlinear objecti...

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Vydáno v:	Water resources management Ročník 23; číslo 14; s. 2913 - 2940
Hlavní autoři:	Zhu, H., Huang, G. H., Guo, P., Qin, X. S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.11.2009 Springer Springer Nature B.V
Témata:	Atmospheric Sciences Case studies China Civil Engineering cost effectiveness Creeks & streams Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Environmental impact Exact sciences and technology Freshwater Fuzzy sets Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology. Hydrogeology Hydrology/Water Resources Linear programming Nonlinear programming Optimization Optimization techniques Quality management rivers Simulation Stream water streams Studies uncertainty wastewater Wastewater discharges Water quality Water quality management Water resources Water resources management Water treatment Far East Asia China Anhui China China, People's Rep., Anhui Prov Dual uncertainty Robust Water quality Environment Management Nonlinear programming Fuzzy set Optimization Interval rivers models cost fuzzy sets geologic sections streams water quality optimization discharge water resource management interval methodology
ISSN:	0920-4741, 1573-1650
On-line přístup:	Získat plný text
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