DocumentCode :
2892096
Title :
Fuzzy Similarity Measure Based Case Retrieval Method
Author :
Chang, Chun-guang ; Wang, Ding-wei ; Liu, Ya-chen ; Qi, Bao-ku
Author_Institution :
Sch. of Manage., Shenyang Jianzhu Univ.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
2030
Lastpage :
2034
Abstract :
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
Keywords :
case-based reasoning; fuzzy set theory; travel industry; case based reasoning system; case retrieval method; conventional nearest neighbor method; fuzzy similarity measure; fuzzy subsethood measure; system simulation; travel scheme management; Chromium; Computer aided software engineering; Conference management; Cybernetics; Engineering management; Expert systems; Fuzzy reasoning; Fuzzy set theory; Information analysis; Information retrieval; Information science; Machine learning; Nearest neighbor searches; Neural networks; Problem-solving; Time measurement; Fuzzy; case retrieval; case-based reasoning; similarity measure; subsethood measure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258338
Filename :
4028398
Link To Document :
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