DocumentCode
1752994
Title
Case Retrieving Based on Grey Incidence Degree in CBR
Author
Mi, Chuanmin ; Liu, Sifeng ; Dang, Yaoguo ; Fang, ZhiGeng
Author_Institution
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
4387
Lastpage
4391
Abstract
Based on the characteristic of grey system theory, which is an effective method to solve uncertain problems, we used grey incidence analytic method into case retrieving of CBR. We took grey incidence degree as a tool for measuring the similarity degree of case. Grey predominance analysis was applied for choosing the most suitable case. If there was no strict suitable case, AHP (analytic hierarchy process) method was used to calculate weight of different indices, then we got synthetical grey incidence degree, ascertain synthetical most similar case. A CBR framework based on grey incidence degree was built based on grey incidence analytic method. Finally, an example was presented. The results show that the method is simple and practical; the model provides an effective method to case retrieving
Keywords
case-based reasoning; grey systems; information retrieval; analytic hierarchy process; case based reasoning; case retrieval; grey incidence analytic method; grey incidence degree; grey predominance analysis; grey system theory; Automation; Computer aided software engineering; Extraterrestrial measurements; Intelligent control; CBR; case retrieving; grey incidence degree;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713206
Filename
1713206
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