Paper Title:
Case Retrieval for Product Configuration Based on NRS and KNN
  Abstract

The accuracy and efficiency of case retrieval decline with individuality and diversity of customer needs in current product configuration design. To cope with this problem, this paper proposes the method of case retrieval based on NRS and KNN. Firstly, setting neighbor value can effectively avoid errors generated by discretization of continuous attributes in classical RS. Secondly, NRS is used for redundant reduction and weight allocation of attributes, and to calculate distance of each sample points by weighted distance. Thirdly, K similar cases are selected according to Euclidean distance with weight, then the case that meet customer needs best is acquired. Lastly, product configuration of coal mining machine is used to illustrate that accuracy and efficiency of the method are superior to the existing methods of case retrieval.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
1525-1529
DOI
10.4028/www.scientific.net/AMR.139-141.1525
Citation
T. Xi, J. J. Li, L. J. Wang, M. H. Shi, "Case Retrieval for Product Configuration Based on NRS and KNN", Advanced Materials Research, Vols. 139-141, pp. 1525-1529, 2010
Online since
October 2010
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Price
$32.00
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