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
Link To Document :
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