Title: A similarity inference method for reducing the cost of pair comparison
Authors: Wu, MC
Wu, SC
Hsia, TC
Hsu, SH
工業工程與管理學系
Department of Industrial Engineering and Management
Keywords: comparison;group technology;pair;set intersection;similarity inference
Issue Date: 1-Jan-2006
Abstract: 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
Journal: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume: 27
Issue: 7-8
Begin Page: 774
End Page: 780
Appears in Collections:Articles


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