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目前关于主客方协作式评价问题的研究相对较少且主要是基于点值评价信息的,考虑到评价环境的复杂性与不确定性,本文将点值信息向区间信息方向拓展,探讨了一种新的区间信息下的主客方协作式群体评价方法。本文首先探讨了一种能够较好融合评价信息“质与量”的区间诱导密度加权合成算子-IIDWA;然后以主方信息完备度及客方信息诚信度为诱导分量分别对主客方评价信息进行聚类分组,并从规模和属性两个角度出发分别确定相应的密度加权向量;最后在主客方协作规则下,利用IIDWA算子对主客方区间信息分别进行二维集结,以得出最终综合评价结果。文章最后给出了一个应用算例,算例表明了方法的可行性与有效性。
At present, there are relatively few research on the subject-client collaborative evaluation problem, which is mainly based on the point value evaluation information. Considering the complexity and uncertainty of the evaluation environment, this paper expands the point value information to the interval information, A New Method for Evaluating Cooperative Group of Hosts and Clients under Interval Information. In this paper, we first discuss the interval-induced density-weighted composition operator-IIDWA, which can better integrate the evaluation information “quality and quantity ”. Then, based on the principal information completeness and the customer information integrity as the induced components, Evaluation information is clustered into groups and the corresponding weighting vectors are respectively determined from the perspectives of scale and attributes. Finally, under the cooperation rules of the host and the guest, IIDWA operator is used to separately collect the host-client inter-section information in two dimensions to obtain The final comprehensive evaluation results. Finally, an application example is given. The example shows the feasibility and effectiveness of the method.