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- W2107721568 abstract "This paper considers a dynamic pricing problem for selling a given stock of a perishable product over a finite time horizon. We model the uncertain demand as random fuzzy variable and study the pricing problem in a random fuzzy environment. The retailer's dynamic pricing problem is formulated as three types of random fuzzy programming models-expected revenue maximization model, (α, β)-revenue maximization model and chance maximization model - to meet different goals. Random fuzzy simulations for some functions with random fuzzy parameters are given and embedded into genetic algorithm to design a hybrid intelligent algorithm. Numerical examples are also presented to illustrate the modeling idea and to show the effectiveness of the proposed algorithm." @default.
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- W2107721568 date "2010-11-01" @default.
- W2107721568 modified "2023-09-24" @default.
- W2107721568 title "Dynamic pricing of perishable products with random fuzzy demand" @default.
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- W2107721568 doi "https://doi.org/10.1109/icmse.2010.5719804" @default.
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