FUZZY SIMILARITY MEASURE BASED CASE RETRIEVAL METHOD
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.
Fuzzy subsethood measure similarity measure case retrieval case-based reasoning
CHUN-GUANG CHANG DING-WEI WANG YA-CHEN LIU BAO-KU QI
School of Management, Shenyang Jianzhu University, Shenyang 110168, China School of Information Science & Engineering, Northeastern University, Shenyang 110004, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2030-2034
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）