Paper Title:
Case-Retrieving Model Based on User Classification in CBR System
  Abstract

The importance of case-retrieving method selection in the CBR system is analyzed, and the defaults of traditional retrieving methods which make use of fuzzy distance to describe the distance in the similar cases are pointed out. A model for case- retrieving based on user classification is presented after the introduction of the basic principle and process of CBR. By this case-retrieving method, the retrieving fields are divided into several case bases according to user’s fondness, and it will promote the retrieving speed.

  Info
Periodical
Edited by
Qi Luo
Pages
1265-1268
DOI
10.4028/www.scientific.net/AMM.20-23.1265
Citation
H. You, Z. X. Hao, Q. Wang, "Case-Retrieving Model Based on User Classification in CBR System", Applied Mechanics and Materials, Vols. 20-23, pp. 1265-1268, 2010
Online since
January 2010
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