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