Abstract
As the recent volatility of international prices of sulfur indicates, and how to make a reasonable price of sulfur is a matter of concern for the sulfur production enterprises. A dynamic pricing model is presented in this paper, and the improved fuzzy decision based on multi-objective optimization is provided. While the key issue is to construct the matrix based on the volatility factors, to analyze historical pricing data to predict future price direction, and to give the final pricing scheme of sulfur based on fuzzy decision-making.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhou, Q., Yuan, Q. (2012). The Application Study of Dynamic Pricing Decision System Based on Multi-objective Optimization. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_25
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DOI: https://doi.org/10.1007/978-3-642-34289-9_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34288-2
Online ISBN: 978-3-642-34289-9
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