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基于熵权TOPSIS法的输电网规划综合决策
引用本文:吕盼,乔怡,葛丽婷. 基于熵权TOPSIS法的输电网规划综合决策[J]. 华北电力大学学报(自然科学版), 2010, 37(4)
作者姓名:吕盼  乔怡  葛丽婷
摘    要:解决输电网规划方案综合决策问题的两种主要方法层次分析法和模糊综合评价方法依赖专家评判确定指标权重,主观随意性大,并且层次分析法的评分规则很难被规划人员掌握并在评价过程中准确运用,模糊综合评价法中隶属度函数选取困难,限制了两种方法在实际工程实践中的应用。针对上述不足,将熵权TOPSIS法应用于输电网规划方案综合决策,通过构造理想解与负理想解,以方案指标向量靠近理想解远离负理想解为判据确定方案的优劣,并采用熵权法确定加权决策矩阵中的指标权重,降低了评价过程中的主观因素和不确定因素。最后结合算例详细介绍了采用熵权TOPSIS法求解输电网规划方案综合决策问题的具体步骤。算例结果证明熵权TOPSIS法决策过程科学,决策结果合理、可信。

关 键 词:优化规划  综合决策  熵权理想解法  (负)理想解  相对贴近度

Comprehensive decision-making of transmission network planning based on entropy TOPSIS
LV Pan,QIAO Yi,GE Li-ting. Comprehensive decision-making of transmission network planning based on entropy TOPSIS[J]. Journal of North China Electric Power University, 2010, 37(4)
Authors:LV Pan  QIAO Yi  GE Li-ting
Abstract:There are two main methods namely analytic hierarchy process(AHP) and fuzzy comprehensive evaluation method in comprehensive decision-making of transmission network planning scheme.It is subjective for the two main methods to determine evaluation index weight completely depending on experts' opinion.And it is difficult to master the AHP scoring rules and precisely use it in the comprehensive decision-making process.The adoption of appropriate membership degree function is also difficult in fuzzy comprehensive evaluation method.These shortcomings limit the two main methods application in actual engineering practice.Considering these shortcomings,entropy TOPSIS method was applied to comprehensive decision-making of transmission network planning scheme.In entropy TOPSIS method,the ideal solution and the negative ideal solution were built and decide the quality of planning scheme by the distance to the ideal solution and negative ideal solution.And entropy weight method was used to determine the index weight in order to reduce the subjective factors and uncertainties in the decision-making process.The simulation results prove that the decision-making process is scientific decision-making results are reasonable and credible using entropy TOPSIS method.
Keywords:optimal planning  comprehensive judgment  entropy TOPSIS  (negative) ideal solution  relative similarity degree
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