考虑到评价过程中的不确定性和信息的不精确性, 建立了基于模糊网络分析法的建设项目评价选择模型. 考虑到指标之间的相互影响和反馈关系, 构建了评价指标体系. 根据模糊优先规划方法确定了各指标的权重, 包括准则层指标的权重、子指标的独立权重和相互影响权重. 同时, 对具有相互影响和制约关系的指标, 根据其网络结构建立了未加权超矩阵, 进行随机化处理后, 计算出了收敛的极限超矩阵. 据此汇总各指标的综合权重, 并计算各候选方案的综合得分, 以选择最佳行动方案. 利用Matlab软件进行求解. 最后以某建设项目选择决策为例, 对提出的方法进行了应用, 结果表明该方法能较好地处理此类问题.
Abstract
Considering the uncertainty and the inaccuracy of information during the evaluation process, a model for evaluating and selecting an optimal construction project based on fuzzy analytic network process method was established. Taking into account the interaction and feedback relationships between indices, an evaluation index system was built. The weight of each index, including the weight of the criterion level indicators, the weight of independent sub-indices and the weight of dependent sub-indices were determined by fuzzy preference programming method. Meanwhile, the unweighted supermatrix based on its network structure was built for those interactional indicators, and the convergent limit supermatrix was calculated after randomizing the unweighted supermatrix. Accordingly, a comprehensive weight of each index and the final score of each alternative could be calculated. Then we could choose the optimal alternative. Matlab software was used to solve the problems. Finally, a case for selecting an optimal construction project was given by proposed method, and the result is shown that it can deal well with this kind of problems.
关键词
模糊网络分析法 /
模糊层次分析法 /
模糊优先规划 /
三角模糊数 /
项目选择
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Key words
fuzzy analytic network process(FANP) /
fuzzy analytic hierarchy process(FAHP) /
fuzzy preference programming(FPP) /
triangular fuzzy numbers /
project selection
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中图分类号:
N94
F272
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脚注
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基金
中央高校基本科研业务费专项资金(FRF-BR-11-009A)
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