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基于优化组合赋权的市政工程建设方案格序优选 被引量:5

Optimization for Municipal Engineering Construction Scheme Based on Lattice-order Theory Combined with Optimal Combination Empowerment
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摘要 结合市政工程建设方案评价具有模糊性、多目标性和不确定性的特点,针对单一的依赖于主观或者客观赋权方法的缺陷问题,提出一种基于优化组合赋权的市政工程建设方案格序优选方法。首先,基于模糊理论、熵理论对决策指标进行主、客观赋权,再构建组合权重优化模型来求得组合权重值;在此基础上,针对市政工程建设方案优选中存在的多目标之间的不可公度性和矛盾性问题,引入格序理论,构建基于优化组合赋权的市政工程建设方案格序优选方法;再结合加权Kaufmann距离的概念,以各建设方案与正、负理想解的综合距离为综合标准确定方案的优先序;最后,以某市改建城市主干道工程建设方案优选为例进行分析,计算结果表明,利用该方法对市政工程建设方案进行优选合理、有效。 Evaluation of municipal construction scheme of engineering comprises fuzzification,multi-objectivity and uncertainty,in order to solve the problem of single depends on subjective or objective weighting methods,a method of optimization for municipal engineering construction scheme based on lattice-order theory combined with optimal combination empowerment is proposed. Based on fuzzy theory, entropy theory to determine subjective weights and objective weights of decision indicators,and the optimal model is established to calculate combination weights. On this basis,for the incommensurability problems and contradictions between the multi-objective optimization of municipal engineering construction scheme exists,the lattice order theory is introduced,a decision making model for municipal engineering construction scheme based on lattice-order theory combined with optimal combination empowerment is proposed,combined with the concept of weighted Kaufmann distance or nearness to the distance and comprehensive alternative positive and negative ideal solution is a comprehensive standard to determine the order of priority programs. At last a city's example that rebuilt the city main road construction program is analysised,the results show that this method is preferred public works construction program reasonable and effective.
作者 朱玮 吴凤平
机构地区 河海大学商学院
出处 《土木工程与管理学报》 北大核心 2015年第1期82-87,共6页 Journal of Civil Engineering and Management
关键词 建设方案 三角模糊数 熵权法 格序理论 优化组合权重 construction scheme triangular fuzzy number entropy weigh lattice-order theory optimal combination weights
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