An Approach Based on Generic Label Correcting Algorithm for Supply Chain Modeling

In this paper, the rough set theory is applied to reduce the complexity of data space and to induct decision rules. It proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. This proposed approach is agile because by combin...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 411-414; pp. 2085 - 2088
Main Authors Wang, Yu, Geng, Xiao Qing
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.09.2013
Subjects
Supply Chain Modeling
Generic Label Correcting Algorithm
Agility
Rough Set (RS)
Online AccessGet full text
ISBN3037858648
9783037858646
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.411-414.2085

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Summary:In this paper, the rough set theory is applied to reduce the complexity of data space and to induct decision rules. It proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. This proposed approach is agile because by combining various operators and comparators, different types of paths in the reduced networks can be solved with one algorithm.
Bibliography:Selected, peer reviewed papers from the 2013 2nd International Conference on Information Technology and Management Innovation (ICITMI 2013), July 23-24, 2013, Zhuhai, China
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ISBN:3037858648
9783037858646
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.411-414.2085