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地区农业节水灌溉项目投资方案优选——基于格序理论与组合赋权的决策方法
引用本文:王丰凯,吴凤平,于倩雯,朱 玮. 地区农业节水灌溉项目投资方案优选——基于格序理论与组合赋权的决策方法[J]. 水资源与水工程学报, 2017, 28(3): 234-238
作者姓名:王丰凯  吴凤平  于倩雯  朱 玮
作者单位:河海大学 商学院, 江苏 南京 211100
基金项目:国家自然科学基金项目(41271537); 国家社会科学基金重大项目(12&ZD214); 江苏省高校研究生科研创新计划省立省助项目(KYZZ15-0159)
摘    要:为对地区农业节水灌溉项目投资做出科学决策,结合项目投资决策的不确定性、多目标性等特点,针对单一主观或者客观赋权方法的缺陷问题,提出一种基于格序理论与组合赋权的地区农业节水灌溉项目投资方案优选决策方法。首先,通过构建优化模型对决策指标的主、客观权重进行优化组合,求得组合权重值;然后,运用格序决策理论,构建农业节水灌溉项目投资方案优选模型,结合加权Kaufmann距离的概念,对备选方案进行优选排序;最后,结合算例验证该方法的可行性和有效性。

关 键 词:节水灌溉  变异系数法  三角模糊数  组合赋权  格序决策

Optimization of investment decision-making for agricultural water-saving projects based on lattice-order theory and combination weights
WANG Fengkai,WU Fengping,YU Qianwen,ZHU Wei. Optimization of investment decision-making for agricultural water-saving projects based on lattice-order theory and combination weights[J]. Journal of water resources and water engineering, 2017, 28(3): 234-238
Authors:WANG Fengkai  WU Fengping  YU Qianwen  ZHU Wei
Abstract:In order to make scientific decisions on the investment of regional agricultural water-saving irrigation project, considering the investment decisions to be uncertain and multi-objective, and the single subjective or objective weights method to be defective, a decision-making method of optimization of investment for agricultural water-saving irrigation projects based on lattice-order theory and combination weights is proposed. First, the value of combined weights was obtained by constructing the optimization model to optimize the combination of subjective weights and objective weights of the decision indexes. Then an optimal model of investment decision-making for agricultural water-saving irrigation projects was proposed using the lattice-order theory, and the alternatives were sorted and chosen by combining with the concept of weighted Kaufmann distance. At last, the feasibility and effectiveness of the method were illustrated by a computational example.
Keywords:water-saving irrigation   coefficient variation   triangular fuzzy number   combination weights   lattice order decision-making
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