An Inexact Optimization Model for Crop Area Under Multiple Uncertainties.

Clicks: 145
ID: 100263
2019
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Ranked #781 of 862 articles by views in International journal of environmental research and public health

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Abstract
This paper developed a type-2 fuzzy interval chance constrained programming model for optimizing a crop area, which integrated chance constrained programming and type-2 fuzzy interval programming. The developed model was then applied to a case study in Wuwei City, Gansu Province, China, and the maximization of economic benefit was selected as the planning objective. Furthermore, different water-saving irrigation modes were considered as the development mode. A series of optimal irrigation water and planting structure schemes were obtained under different violation probabilities in each water-saving scenario. The obtained results could be helpful to make decisions on the planting structure and the optimal use of irrigation water and land resources under multiple uncertainties.
Reference Key
ren2019aninternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ren, Chongfeng;Zhang, Hongbo;
Journal International journal of environmental research and public health
Year 2019
DOI
E2610
URL
Keywords
chance constrained programming crop area optimization multiple uncertainties type-2 fuzzy interval programming water-saving scenarios

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