摘要
基于既有多源专家特征信息融合研究，从单一资源的不同分面出发，统计了每一分面排名的参考指标，据此生成专家分面排名。鉴于分面排名之间可能存在的冲突，结合D—S理论和熵运算，设计了专家排名融合的算法，算法核心围绕mass值的计算和合成。获取专家综合排名，依托群体决策需求，应用加权平均法生成Top N位专家的内容特征，通过二次遴选完成应急参考咨询团队的构建。以多主题领域的应急专家遴选过程为例，通过评测排名值的重复率和一致率，证实本文方法相较单一方法效率更高。
Based on previous research on information fusion for multi-source expert features, this paper has firstly designed reference indicators of different facets, by which expert faceted rankings are obtained. Secondly, taking the conflict given rise to by varied rankings into account, the authors have applied D-S theory and information entropy to expert faceted ranking fusion algorithm, which focuses on the calculation and synthesis of mass values. Thirdly, weighted average method has been used to integrate content features of top N experts required in emergency decision, so emergency experts team for virtual reference can be constructed via selection for two times. Finally, making the selection process of emergency expert from different areas as examples, outcome has demonstrated that new method in this paper is more efficient than single method by the evaluation of ranking values in repetition and consistency.
出处
《情报学报》
CSSCI
北大核心
2015年第7期734-742,共9页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金重大项目“智慧城市应急决策情报体系建设研究”(项目编号:13&ZD173)
中央高校基本科研业务费项目“跨学科专家科研团队发现研究”(项目编号:2014104010202)研究成果之一
关键词
应急专家
参考咨询
分面排名
D-S理论
信息熵
emergency expert, virtual reference, faceted ranking, D-S theory, information entropy
