Application of Association Rule Mining in Supplier Selection Criteria - CORE

 

application of association rule mining in supplier selection criteria

Abstract—In this paper the application of rule mining in order to review the effective factors on supplier selection is reviewed in the following three sections 1) criteria selecting and information gathering 2) performing association rule mining 3) validation and constituting rule base. Afterwards a few of applications of rule base is explained. Abstract—In this paper the application of rule mining in order to review the effective factors on supplier selection is reviewed in the following three sections 1) criteria selecting and information gathering 2) performing association rule mining 3) validation and constituting rule base. Afterwards a few of applications of rule base is explained. Then, a numerical example is presented and analyzed by Clementine software. Some of extracted rules . PDF | In this paper the application of rule mining in order to review the effective factors on supplier selection is reviewed in the following three sections 1) criteria selecting and information.


CiteSeerX — Application of Association Rule Mining in Supplier Selection Criteria


Full Text Available Association rule mining, Support, Confidence, Suppliers selection, processing time. Supplier selection is a multi criteria problem, nowadays it is very difficult to select a good supplier among huge number of suppliers. To select a good supplier among numbers of supplier we include both qualitative and quantitative factors.

In this project we use Boolean association rule mining to count the support and confidence of suppliers which is based on different qualitative and quantitative criteria of suppliers. These projects generate a rule with some support and confidence and select the supplier who satisfied the criteria condition Boolean association rule.

Thomas, S. In Knowledge Discovery and Data Mining. In Proc. In IEEE, Psaila, and S. Mumbai, India. Thomas, and R. Seattle, Washington. Weber, J. Current and A. Wang, S. Huang and J. De Boer, E. Labro and P. Timmerman, Purchasing Mater.

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Meo, R. Agrawal, R. Sarawagi, S. Hongen, Z.

 

Association Rule Mining: An Overview and its Applications

 

application of association rule mining in supplier selection criteria

 

Association Rule Mining: Applications in Various Areas or Left > Right-. Support shows the frequency of the patterns in the rule; it is the percentage of transactions that contain both A and B, i.e. Support = (# of transactions involving A and B) / (total number of transactions). To select a good supplier among numbers of supplier we include both qualitative and quantitative factors. In this project we use Boolean association rule mining to count the support and confidence of suppliers which is based on different qualitative and quantitative criteria of suppliers. Abstract—In this paper the application of rule mining in order to review the effective factors on supplier selection is reviewed in the following three sections 1) criteria selecting and information gathering 2) performing association rule mining 3) validation and constituting rule base. Afterwards a few of applications of rule base is explained. Then, a numerical example is presented and analyzed by Clementine software. Some of extracted rules .