Mining pattern of supplier with the methodology of domain-driven data mining

Xu, X., Lie, J. and Xu, D. (2009). Mining pattern of supplier with the methodology of domain-driven data mining. In: 2009 IEEE International Conference on Fuzzy Systems Proceedings. Fuzzy Systems, 2009. FUZZ-IEEE 2009., Jeju, Jeju Island, Korea, (1925-1930). 20-24 August, 2009. doi:10.1109/FUZZY.2009.5277366

Author Xu, X.
Lie, J.
Xu, D.
Title of paper Mining pattern of supplier with the methodology of domain-driven data mining
Conference name Fuzzy Systems, 2009. FUZZ-IEEE 2009.
Conference location Jeju, Jeju Island, Korea
Conference dates 20-24 August, 2009
Proceedings title 2009 IEEE International Conference on Fuzzy Systems Proceedings
Journal name 2009 Ieee International Conference On Fuzzy Systems, Vols 1-3
Place of Publication IEEE Xplore digital library
Publisher IEEE
Publication Year 2009
Year available 2009
Sub-type Fully published paper
DOI 10.1109/FUZZY.2009.5277366
Open Access Status Not Open Access
ISBN 978-1-4244-3596-8
ISSN 1098-7584
Start page 1925
End page 1930
Total pages 6
Language eng
Abstract/Summary Supplier selection has a critical effect on the competitiveness of the entire supply chain network. It is not only a significant work in supply chain management but also a complex decision making problem which includes both qualitative and quantitative factors. Research results indicate that the supplier selection process appears to satisfy different evaluation criteria and business model in deciding the success of the supply chain. Supplier selection problem related to organization strategy and it needs more critical analysis. This paper proposes a novel approach that combines expert domain knowledge with Apriori algorithm of data mining to discover the pattern of supplier under the methodology of Domain-Driven Data Mining (D3M). Apriori algorithm of data mining with the help of Intuitionistic Fuzzy Set Theory (IFST) is employed during the process of mining. The overall patterns obtained help in deciding the final selection of suppliers. Finally, AHP is used to efficiently tackle both quantitative and qualitative decision factors involved in ranking of suppliers with the help of pattern achieved. An example searching for pattern of supplier is used to demonstrate the effective implementation procedure of proposed method. The proposed method can provide the guidelines for the decision makers to effectively select their suppliers in the current competitive business scenario.
Subjects E1
0806 Information Systems
8903 Information Services
Q-Index Code E1
Q-Index Status Confirmed Code

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Created: Fri, 09 Apr 2010, 03:46:24 EST by Karen Morgan on behalf of UQ Business School