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针对综合评价中不同专家(或利益相关者)对属性权重看法不一致的情况，提出了一种蒙特卡罗模拟的群体协商评价方法。
For inconsistency among the different experts (or stakeholder) groups' awareness of the attribute weight range, a method of group bargaining evaluation based on the monte carlo simulation is proposed.
分析不同数据类型的特征属性及其相似度的计算方法，针对各特征属性分配相应的权重。
Similarity computational methods were analyzed based on different data types and each attribute was assigned corresponding weights.
在模型中设计了招标选优算法，根据属性的权重，自动找出不同属性上较优的投标提供给采购方选择。
The algorithm of optimal bidding in multi-attribute auction provides the prominent bid for purchasers according to the weight of attributes.
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