Dynamic pricing model and algorithm for perishable products with fuzzy demand

Xiong, Yu, Li, Gendao and Fernandes, Kiran Jude (2010) Dynamic pricing model and algorithm for perishable products with fuzzy demand. Applied Stochastic Models in Business and Industry, 26 (6). pp. 758-774. ISSN 1526-4025

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Abstract

This paper studies the dynamic pricing problem of selling fixed stock of perishable items over a finite horizon, where the decision maker does not have the necessary historic data to estimate the distribution of uncertain demand, but has imprecise information about the quantity demand. We model this uncertainty using fuzzy variables. The dynamic pricing problem based on credibility theory is formulated using three fuzzy programming models, viz.: the fuzzy expected revenue maximization model, a-optimistic revenue maximization model, and credibility maximization model. Fuzzy simulations for functions with fuzzy parameters are given and embedded into a genetic algorithm to design a hybrid intelligent algorithm to solve these three models. Finally, a real-world example is presented to highlight the effectiveness of the developed model and algorithm.

Item Type: Article
Faculty \ School: Faculty of Social Sciences > Norwich Business School
Related URLs:
Depositing User: Elle Green
Date Deposited: 06 Aug 2012 10:14
Last Modified: 24 Jul 2019 14:20
URI: https://ueaeprints.uea.ac.uk/id/eprint/39254
DOI: 10.1002/asmb.816

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