KNOWLEDGE DISTANCE IN INFORMATION SYSTEMS  

作　　者：Yuhua QIAN Jiye LIANG Chuangyin DANG Feng WANG Wei XU 

机构地区：[1]School of Computer & Information Technology, Shanxi University, Taiyuan, 030006, China [2]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong [3]School of Management, Graduate University of Chinese Academy of Sciences, Chinese Academy of SciencesBeifing, 100080, China

出　　处：《Journal of Systems Science and Systems Engineering》2007年第4期434-449,共16页系统科学与系统工程学报（英文版）

基　　金：the National Natural Science Foundation of China under Grant Numbers 60773133,70471003,and 60573074;the High Technology Research and Development Program of China under Grant No.2007AA01Z165;the Foundation of Doctoral Program Research of the Ministry of Education of China under Grant No.20050108004;Key Project of Science and Technology Research of the Ministry of Education of China.

摘　　要：In this paper, we first introduce the concepts of knowledge closeness and knowledge distance for measuring the sameness and the difference among knowledge in an information system, respectively. The relationship between these two concepts is a strictly mutual complement relation. We then investigaie some important properties of knowledge distance and perform experimental analyses on two public data sets, which show the presented measure appears to be well suited to characterize the nature of knowledge in an information system. Finally, we establish the relationship between the knowledge distance and knowledge granulation, which shows that two variants of the knowledge distance can also be used to construct the knowledge granulation. These results will be helpful for studying uncertainty in information systems.In this paper, we first introduce the concepts of knowledge closeness and knowledge distance for measuring the sameness and the difference among knowledge in an information system, respectively. The relationship between these two concepts is a strictly mutual complement relation. We then investigaie some important properties of knowledge distance and perform experimental analyses on two public data sets, which show the presented measure appears to be well suited to characterize the nature of knowledge in an information system. Finally, we establish the relationship between the knowledge distance and knowledge granulation, which shows that two variants of the knowledge distance can also be used to construct the knowledge granulation. These results will be helpful for studying uncertainty in information systems.

关 键 词：Information systems KNOWLEDGE knowledge distance knowledge granulation 

分 类 号：F062.5[经济管理—政治经济学]