Abstract

With the development of network technology and electronic commerce, an increasing number of people started on-line shopping. And the information of a probability distribution of the goods market demand is not easy to get due to lack of historical data. To resolve these two problems, this paper gives a system framework and model of returns policy for supply chain with electronic market in fuzzy environment. Basing on the uncertainty theory, this paper characterizes the demand of traditional and electronic market as fuzzy variables. A fuzzy expected value model is formulated for this problem, and a hybrid intelligent algorithm is designed to solve it.

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