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在群体评价中,已有的信息集结算子大都没有考虑到信息分布的疏密情况.针对这种不足,提出一种基于密度算子的多阶段群体评价信息集结方法.首先给出了评价数据的分组与密度加权向量的确定方法;然后定义了两种新的算子—–密度算术加权平均算子(DMWAA)和密度有序加权平均算子(DMOWA),并分别用于评价信息的横向和纵向集结;最后给出了一个应用算例,结果表明该集结方法具有定性判断与定量分析等优良特性,且可拓展性强.
In the group evaluation, most of the existing information aggregation operators do not consider the distribution of information density.Aiming at this problem, we propose a multi-stage group evaluation information aggregation method based on density operator.Firstly, the evaluation data Then we define two new operators-density arithmetic weighted average operator (DMWAA) and density ordered weighted average operator (DMOWA), which are respectively used to evaluate the horizontal direction of information Finally, an application case is given. The results show that the proposed method has some excellent characteristics such as qualitative judgment and quantitative analysis, and has strong scalability.