Fuzzy similarity measure based case retrieval method

被引：0
|
作者：
Chang, Chum-Guang [1 ]
Wang, Ding-Wie [2 ]
Liu, Ya-Chen [1 ]
Qi, Bao-Ku [1 ]
机构：
[1] Shenyang Jianzhu Univ, Sch Management, Shenyang 110168, Peoples R China
[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
fuzzy; subsethood measure; similarity measure; case retrieval; case-based reasoning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The inducement relation between fuzzy subsethood measure (FSUM) and fuzzy similarity measure (FSIM) is analyzed and proved, a novel calculation formula of FSUM is proposed, and the calculation formula of FSIM is induced so as to remedy the disadvantage of conventional ones. Then the FSIM based case retrieval (CR/FSIM) method is studied. The Case based reasoning (CBR) system for the travel scheme management is developed so as to verify the validity of CR/FSIM method, compared with the conventional nearest neighbor (NN) method, the system simulation result shows that the CR/FSIM method can much improve the satisfaction degree of tourists within certain similarity degree threshold.
引用
收藏
页码：2030 / +
页数：2
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