An inexact rough-interval fuzzy linear programming method for generating conjunctive water-allocation strategies to agricultural irrigation systems
An inexact rough-interval fuzzy linear programming method for generating conjunctive water-allocation strategies to agricultural irrigation systems
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DOI：
10.1016/j.apm.2011.03.008
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发表时间：
2011-09-01
影响因子：
5
通讯作者：
He, Li
中科院分区：
文献类型：
--
作者：
Lu, Hongwei;Huang, Guohe;He, Li
提出了一种用于农业灌溉系统的不精确粗糙区间模糊线性规划(IRFLP)方法，用于确定联合配水策略。在建模框架中引入了“粗糙区间”的概念来表示双重不确定参数。在建立模型的基础上，给出了一个农业配水管理系统的实例，验证了该方法的适用性。结果表明，得到了合理的解和分配策略。基于对不同方案方案的分析，指出了系统中存在的双重不确定性的显著影响。并对IRFLP和区间值模糊线性规划的结果进行了比较。得到的粗糙区间解对应于正常和特殊系统条件下的管理策略，从而为决策者提供了更多的便利。与以往的建模工作相比，所提出的IRFLP在处理高度不确定参数的双区间之间的相互作用以及它们对系统的联合影响方面表现出独特性。(C)2011 Elsevier Inc.保留所有权利。
An inexact rough-interval fuzzy linear programming (IRFLP) method is developed for agricultural irrigation systems to generate conjunctive water allocation strategies. The concept of "rough interval" is introduced in the modeling framework to represent dual-uncertain parameters. After the modeling formulation, an agricultural water allocation management system is provided to demonstrate the applicability of the developed method. The results show that reasonable solutions and allocation strategies are obtained. Based on the analysis of alternatives obtained from different scenarios, the significant impact of dual uncertainties existing in the system is specified. Comparisons between the results from IRFLP and interval-valued fuzzy linear programming are also conducted. The obtained rough-interval solutions correspond to the management strategies under both normal and special system conditions, and thus more conveniences would be provided for decision makers. Compared to the previous modeling efforts, the proposed IRFLP shows uniqueness in addressing the interaction between dual intervals of highly uncertain parameters, as well as their joint impact on the system. (C) 2011 Elsevier Inc. All rights reserved.