Similarity and distance in case based reasoning

被引:4
作者
Burkhard, HD [1 ]
机构
[1] Humboldt Univ, Inst Informat, D-10099 Berlin, Germany
关键词
similarity; distance; case based reasoning; retrieval;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Notions of similarity and distance play an important role in informatics. Different disciplines have developed their own treatment of related measures. We consider this problem under the viewpoint of Case Based Reasoning. While distance and similarity can be considered to be formally equivalent, there exist some differences concerning their intuitive use which have impact to the composition of global measures from local ones.
引用
收藏
页码:201 / 215
页数:15
相关论文
共 9 条
[1]  
AAMODT A, 1994, AI COMMUN, V7, P39
[2]  
BURKHARD HD, 1998, CASE BASED REASONING, V1400, P17
[3]  
BURKHARD HD, 2000, SOFT COMPUTING CASE, P29
[4]   FUZZY CONTROL ON THE BASIS OF EQUALITY RELATIONS WITH AN EXAMPLE FROM IDLE SPEED CONTROL [J].
KLAWONN, F ;
GEBHARDT, J ;
KRUSE, R .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1995, 3 (03) :336-350
[5]  
Mitchell T., 1997, Machine Learning, V7, P2
[6]  
Richter MM, 1998, LECT NOTES ARTIF INT, V1501, P1
[7]  
RICHTER MM, 1995, MATH STAT METHODS AR, P171
[8]  
WENDLER J, 2000, P P 4 ROB CUP S MELB, P82
[9]   SIMILARITY RELATIONS AND FUZZY ORDERINGS [J].
ZADEH, LA .
INFORMATION SCIENCES, 1971, 3 (02) :177-&