湖北农业科学 ›› 2019, Vol. 58 ›› Issue (4): 82-87.doi: 10.14088/j.cnki.issn0439-8114.2019.04.019

• 信息工程 • 上一篇    下一篇

水-土-作物系统的模糊随机优化配置研究

张春琴, 张国春, 陈爱霞   

  1. 河北省机器学习与计算智能重点实验室/河北大学数学与信息科学学院,河北 保定 071002
  • 修回日期:2018-10-23 出版日期:2019-02-25 发布日期:2019-11-26
  • 作者简介:张春琴(1978-),女(瑶族),广西平南人,讲师,硕士,主要从事不确定信息处理研究,(电话)13930854352(电子信箱)hbu_zcq@163.com。
  • 基金资助:
    河北省自然科学基金项目(F2018201115); 河北省教育厅基金项目(QN2018161)

Study on Fuzzy Stochastic Optimal Allocation of Water-Soil-Crop System

ZHANG Chun-qin, ZHANG Guo-chun, CHEN Ai-xia   

  1. Key Laboratory of Machine Learning and Computational Intelligence/College of Mathematics and Information Science,Hebei University,Baoding 071002,Hebei,China
  • Revised:2018-10-23 Online:2019-02-25 Published:2019-11-26

摘要: 运用多目标模糊随机优化模型,对区域内水-土-作物系统的管理规划和优化配置进行了研究。模型以经济效益、社会效益、生态效益和劳动力的利用为主要目标,寻求作物种植的最优模式,实现对水土资源的最佳配置。为了很好地处理多目标规划中的权重分配问题,采用模糊定权的方法确定各个目标的权重。在建立优化模型时,同时考虑了模糊因素和随机因素对决策问题的影响,因而所得的模型更加客观、合理,能够使各种有限的资源得到充分有效的利用。应用实例表明,该模型理论严谨、操作简单、计算简便,将其应用到农业系统的水-土-作物的优化配置是可行的,能合理地分配各种资源,从而能提高作物产量和经济效益。

关键词: 水-土-作物系统, 模糊随机优化, 模糊定权, 优化配置

Abstract: The management planning and optimal allocations of regional water-soil-crop system are studied by meams of multi-objective fuzzy stochastic optimization model. The model takes economic benefits, social benefits, ecological benefits and utilization of labor as the main objectives, seeks the best mode of crop planting and, achieves optimal allocation of water and soil resources. The weight of each objective is determined by the method named fuzzy decision weight that deals with the weight assignment problem well in multi-objective programming. When establishing the optimization model,we also consider the influence of fuzzy factors and stochastic factors on decision-making problems. Therefore, the model is more objective and reasonable, and can make full and effective use of all kinds of limited resources. The case study shows that the model is rigorous in theory, simple in operation and easy to calculate and, it is feasible to apply it to the optimal allocation of water-soil-crop in agricultural system. It can rationally allocate various resources, thereby improving crop yields and economic benefits.

Key words: water-soil-crop system, fuzzy stochastic optimization, fuzzy decision weight, optimal allocation

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