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
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Abstract	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 programming, stochastic programming and joint probability chance constraint programming. The results of the study are a series of land use policies in multiple scenarios with interval and deterministic numbers. The advantage of the model include it can (1) effectively integrate the two objectives of economic benefit maximization and pollution minimization by the fractional programming; (2) effectively process the uncertainty by the corresponding uncertainty programming; (3) reflect the impact of uncertainty on system benefit, pollutant discharge, and land use structure policy; and (4) develop a series of possible scenarios and corresponding feasible plans. The results of the study can help planners or decision makers develop flexible land use policy to address the multi-objective problems of maximum, minimum, and uncertainty. The proposed method is universal and can be extended to other cases.
AbstractList	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 programming, stochastic programming and joint probability chance constraint programming. The results of the study are a series of land use policies in multiple scenarios with interval and deterministic numbers. The advantage of the model include it can (1) effectively integrate the two objectives of economic benefit maximization and pollution minimization by the fractional programming; (2) effectively process the uncertainty by the corresponding uncertainty programming; (3) reflect the impact of uncertainty on system benefit, pollutant discharge, and land use structure policy; and (4) develop a series of possible scenarios and corresponding feasible plans. The results of the study can help planners or decision makers develop flexible land use policy to address the multi-objective problems of maximum, minimum, and uncertainty. The proposed method is universal and can be extended to other cases.
Author	Gu, Jinjin Xuan, Xiaodong Zhang, Xiaorui Cao, Yuan
Author_xml	– sequence: 1 givenname: Jinjin surname: Gu fullname: Gu, Jinjin organization: Department of Urban and Rural Planning, College of Architecture and Art, Hefei University of Technology – sequence: 2 givenname: Xiaorui surname: Zhang fullname: Zhang, Xiaorui email: zxr654321@tom.com organization: Department of Urban and Rural Planning, College of Architecture and Art, Hefei University of Technology – sequence: 3 givenname: Xiaodong surname: Xuan fullname: Xuan, Xiaodong organization: Department of Architecture, College of Architecture and Art, Hefei University of Technology – sequence: 4 givenname: Yuan surname: Cao fullname: Cao, Yuan organization: Department of Architecture, College of Architecture and Art, Hefei University of Technology
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Keywords	Fractional joint probabilistic chance constraint programming Land use structure optimization Uncertainty
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SubjectTerms	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
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Title	Land use structure optimization based on uncertainty fractional joint probabilistic chance constraint programming
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