Balancing irrigation planning and risk preference for sustainable irrigated agriculture: A fuzzy credibility-based optimization model with the Hurwicz criterion under uncertainty
Authors:
- Chenglong ZhangCZChenglong Zhang
- Xuemin LiXLXuemin Li
- Ping GuoPGPing Guo
- Zailin HuoZHZailin Huo
- 1 August 2021
- journal article
- research article
- Published by Elsevier in Agricultural Water Management
- Vol. 254
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (52009133, 2019M660871, BX20190373)
- China Postdoctoral Science Foundation (52009133, 2019M660871, BX20190373)
This publication has 29 references indexed in Scilit:
- Assessing the groundwater dynamics and impacts of water saving in the Hetao Irrigation District, Yellow River basinAgricultural Water Management, 2010
- A credibility-based fuzzy location model with Hurwicz criteria for the design of distribution systems in B2C e-commerceComputers & Industrial Engineering, 2010
- Agricultural effluent control under uncertainty: An inexact double-sided fuzzy chance-constrained modelAdvances in Water Resources, 2010
- Decision support for on-farm water management and long-term agricultural sustainability in a semi-arid region of IndiaJournal of Hydrology, 2010
- Robust stochastic fuzzy possibilistic programming for environmental decision making under uncertaintyScience of The Total Environment, 2009
- Fuzzy facility location-allocation problem under the Hurwicz criterionEuropean Journal of Operational Research, 2008
- Assessing basin irrigation and scheduling strategies for saving irrigation water and controlling salinity in the upper Yellow River Basin, ChinaAgricultural Water Management, 2007
- ITOM: an interval-parameter two-stage optimization model for stochastic planning of water resources systemsStochastic Environmental Research and Risk Assessment, 2005
- Expected value of fuzzy variable and fuzzy expected value modelsIEEE Transactions on Fuzzy Systems, 2002
- Chance constrained programming with fuzzy parametersFuzzy Sets and Systems, 1998