標題: A similarity inference method for reducing the cost of pair comparison
作者: Wu, MC
Wu, SC
Hsia, TC
Hsu, SH
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: comparison;group technology;pair;set intersection;similarity inference
公開日期: 1-一月-2006
摘要: Group technology must group similar parts into families. In classifying parts based on their global shapes, the similarity of parts has to be manually measured by performing pair comparison. The cost of exhaustively performing pair comparison is quite high when the number of parts to be grouped is large. This paper proposes interval intersection, a novel similarity inference method that effectively infers the pair-comparison data from a set of known data. Justified by empirical experiments, the proposed method outperforms the previous methods when 31% or more of data is known.
URI: http://dx.doi.org/10.1007/s00170-004-2250-0
http://hdl.handle.net/11536/12926
ISSN: 0268-3768
DOI: 10.1007/s00170-004-2250-0
期刊: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume: 27
Issue: 7-8
起始頁: 774
結束頁: 780
顯示於類別:期刊論文


文件中的檔案:

  1. 000234194000020.pdf