| 2018 3rd International Conference on Environmental Engineering and Sustainable Development | |
| An Interactive Two-Stage Fractile Optimization Model for Agricultural Irrigation Systems under Uncertainty—A Case Study of Sanjiang Plain | |
| 生态环境科学 | |
| Kong, Xiangming^1 ; Yang, Aili^2 ; Hao, Zhenda^3 | |
| School of Fundamental Science, Beijing Polytechnic, Beijing | |
| 100176, China^1 | |
| Key Laboratory of Environmental Biotechnology, Xiamen University of Technology, Xiamen | |
| 361024, China^2 | |
| Central University of Finance and Economics, Beijing | |
| 100081, China^3 | |
| 关键词: Agricultural irrigation; Decision makers; Development and utilizations; Fractile optimization model; Interval fuzzy numbers; Sanjiang plain; Stochastic distribution; Water allocations; | |
| Others : https://iopscience.iop.org/article/10.1088/1755-1315/264/1/012014/pdf DOI : 10.1088/1755-1315/264/1/012014 |
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| 学科分类:环境科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
An interactive two-stage fractile optimization (ITFO) model is applied to a case study of agricultural irrigation systems in Sanjiang Plain. The advantages of ITFO are as follows: (1) ITFO can reflect the uncertainties and complexes of agricultural irrigation systems, and deal with dual uncertainties expressed as interval fuzzy numbers and stochastic distributions; (2) The optimal water-allocation strategies for agricultural irrigation systems under different feasibilities and fractile values can be generated through ITFO in order to reflect the preference to the system cost; (3) ITFO combines objectivity of mathematical programming method and subjectivity of human beings into a framework which can increase the applicability. ITFO could provide feasible schemes for decision makers to support the rational development and utilization for agricultural irrigation systems in Sanjiang Plain.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| An Interactive Two-Stage Fractile Optimization Model for Agricultural Irrigation Systems under Uncertainty—A Case Study of Sanjiang Plain | 1087KB |
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