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Research of Risk in Supply Chain Based on Fuzzy Evaluation and BP Neural Network

Wuhan(2009)

Cited 3|Views2
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Abstract
Supply chain is a complicated, open system, for the constant development, and fierce degree of market competition of the society increase day by day, the discrimination and management of risk of Supply chain are more essential. Kinds of risk factors of Supply chain are analyzed in the text, according to the influence degree of each risk factor, a method combined BP neural network and fuzzy evaluation is make up to improve the accuracy of risk evaluation. And then proves its feasibility and practicality.
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Key words
bp neural network,fuzzy set theory,analytic hierarchy process (ahp),fuzzy evaluation,market competition,supply chains,backpropagation neural network,backpropagation,risk management,supply chain risk,neural nets,supply chain,analytic hierarchy process,neural network,open system,risk factors,indexes,artificial neural networks,appraisal
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