研讨厅专家意见聚类分析及其可视化  

Clustering Analysis of Experts' Opinion and Its Visualization in Hall for Workshop of Meta-Synthetic Engineering

作　　者：熊才权[1,2] 李德华[2] 张玉[1] 

机构地区：[1]湖北工业大学计算机学院,武汉430068 [2]华中科技大学图像识别与人工智能研究所,武汉430074

出　　处：《模式识别与人工智能》2009年第2期282-287,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金(No.69775022);湖北省自然科学基金(No.2007ABA025)资助项目

摘　　要：综合集成研讨厅中群体共识达成依赖于专家之间有指导的互相探询和互相启发的研讨,因此需要一种反馈机制将专家个体意见和群体一致性状态实时展现给与会专家,从而激发专家思维,促进群体思维收敛.本文提出一种用于专家意见一致性分析的启发式聚类算法和基于该算法的群体一致性分析指标体系,并采用平行坐标法对聚类结果进行可视化展现,使专家群体及时了解群体意见聚类情况,以及每类意见受支持的程度.最后用一个实例说明该方法的有效性.Consensus building in the hall for workshop of meta-synthetic engineering relies on the experts＇ mutual-question and mutual-elicitation in discussion. Therefore, it is necessary to visualize the individual opinion and the coherent state of the group in real time, thus it facilitates the experts to converge their thinking quickly. In this paper, a heuristic clustering algorithm is proposed. It partitions the group into a set of different subgroups, and a series of indexes for the consistency analysis of the group and subgroups are defined. Then a method, called parallel coordinate, is used to display the coherent state of the group so as to facilitate the discussion. Finally, an example is given to illustrate the validity of the proposed method.

关 键 词：聚类算法 群体一致性 平行坐标法 可视化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]