Land use structure optimization based on uncertainty fractional joint probabilistic chance constraint programming

An uncertainty fractional joint probability chance constraint programming is developed to process land use structure optimization under uncertainty. The model integrate uncertainty programming into fractional programming, and the uncertainty programming include interval programming, fuzzy programmin...

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Veröffentlicht in:	Stochastic environmental research and risk assessment Jg. 34; H. 11; S. 1699 - 1712
Hauptverfasser:	Gu, Jinjin, Zhang, Xiaorui, Xuan, Xiaodong, Cao, Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020 Springer Nature B.V
Schlagworte:	Aquatic Pollution Chemistry and Earth Sciences Computational Intelligence Computer Science Earth and Environmental Science Earth Sciences Economic models Environment Land pollution Land use Math. Appl. in Environmental Science Mathematical programming Optimization Original Paper Physics Pollutants Probability Theory and Stochastic Processes Statistical analysis Statistics for Engineering Uncertainty Waste Water Technology Water Management Water Pollution Control Fractional joint probabilistic chance constraint programming Land use structure optimization Uncertainty
ISSN:	1436-3240, 1436-3259
Online-Zugang:	Volltext
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