DocumentCode
2826016
Title
Supplier Identification Based on Rough Sets and BP Neural Network
Author
Shi, Cheng-dong ; Bian, Dun-xin
Author_Institution
Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
In order to identify suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation indicator system was finished. On this basis, BP algorithm was designed and BP intelligent neural network was established. Thereafter, the application of the model for the supplier identification was demonstrated through an illustrative example, the appropriate supplier is selected. Thus, the supplier identification model based on rough sets and BP neural network is feasible.
Keywords
backpropagation; decision tables; matrix algebra; neural nets; rough set theory; supply chain management; BP neural network; discernable matrix; evaluation indicator system; heuristic attribute reduction; rough sets; supplier identification model; supplier performance decision table; Algorithm design and analysis; Appropriate technology; Consumer electronics; Data acquisition; Feedforward neural networks; Intelligent networks; Multi-layer neural network; Neural networks; Rough sets; Supply chains;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5363855
Filename
5363855
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