An Inexact Optimization Model for Crop Area Under Multiple Uncertainties

Chongfeng Ren and Hongbo Zhang
Additional contact information
Chongfeng Ren: Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region, Ministry of Education, Xi’an 710054, China
Hongbo Zhang: Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region, Ministry of Education, Xi’an 710054, China

IJERPH, 2019, vol. 16, issue 14, 1-20

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.

Keywords: crop area optimization; multiple uncertainties; chance constrained programming; type-2 fuzzy interval programming; water-saving scenarios (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/14/2610/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/14/2610/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:14:p:2610-:d:250632

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().