The Application Study Of Dynamic Pricing Decision System Based On Multi-Objective Optimization

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.