An Inexact Optimization Model for Crop Area Under Multiple Uncertainties

Int J Environ Res Public Health. 2019 Jul 22;16(14):2610. doi: 10.3390/ijerph16142610.

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: chance constrained programming; crop area optimization; multiple uncertainties; type-2 fuzzy interval programming; water-saving scenarios.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture / methods
  • China
  • Cities
  • Conservation of Water Resources*
  • Crops, Agricultural*
  • Decision Making
  • Models, Theoretical*
  • Probability
  • Uncertainty