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基于总体距离最小的多用户偏好信息融合算法的研究 被引量：2

Research on User Preference Information Merging Based on Total Distance Minimization
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摘要 信息融合是人工智能和知识库领域的一个关键问题。文章根据Dalal提出的距离概念犤1犦定义了多用户偏好信息的融合,提出并证明了一组相关定理,以这些定理为基础可以简洁地得到融合的结果,并在Dalal定义的距离的基础上将距离的定义一般化,提出了不对称距离的概念。现实表明,对于多用户偏好信息的融合,利用不对称距离可以得到更合理的融合结果,这个结果更加符合人们的通常心理。 Information merging is a key problem that must be resolved on AI and knowledge bases.This paper defines merging result of multi-user preferences according to distance brought forward by Dalal1,and proves a set of theorems.Merging result can briefly be gotten by these theorems.It also defines asymmetry-distance based on distance that Dalal defined and illuminate that asymmetry-distance is fit to human being's common mentalities,by which it can gain more proper merging result of multi-user preferences.
作者 郝彦彬 谷建华 关文天 於志文
机构地区 西北工业大学管理学院 西北工业大学计算机学院 西北工业大学机电学院
出处 《计算机工程与应用》 CSCD 北大核心 2005年第16期29-31,54,共4页 Computer Engineering and Applications
基金 国家自然科学基金(编号:60073054) Philips公司国际高校合作项目 西北工业大学研究生创业种子基金项目的资助(编号:Z20030062)
关键词 信息融合 Dalal距离 不对称距离 information merging,Dalal distance,asymmetry-distance
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献9

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二级参考文献33

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计算机工程与应用
2005年 第16期

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