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An Inexact Optimization Model for Crop Area Under Multiple Uncertainties

Author

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  • Chongfeng Ren

    (Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region, Ministry of Education, Xi’an 710054, China
    School of Environmental Science and Engineering, Chang’an Univeristy, Xi’an 710054, China)

  • Hongbo Zhang

    (Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region, Ministry of Education, Xi’an 710054, China
    School of Environmental Science and Engineering, Chang’an Univeristy, Xi’an 710054, China)

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.

Suggested Citation

  • Chongfeng Ren & Hongbo Zhang, 2019. "An Inexact Optimization Model for Crop Area Under Multiple Uncertainties," IJERPH, MDPI, vol. 16(14), pages 1-20, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:14:p:2610-:d:250632
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    References listed on IDEAS

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    2. Zhang, Yu & Ren, Chongfeng & Zhang, Hongbo & Xie, Zhishuai & Wang, Yashi, 2022. "Managing irrigation water resources with economic benefit and energy consumption: an interval linear multi-objective fractional optimization model under multiple uncertainties," Agricultural Water Management, Elsevier, vol. 272(C).
    3. Bingkui Qiu & Yan Tu & Guoliang Ou & Min Zhou & Yifan Zhu & Shuhan Liu & Haoyang Ma, 2023. "Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints," Land, MDPI, vol. 12(5), pages 1-21, May.

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