TY - GEN
T1 - Fuzzy rule-based demand forecasting for dynamic pricing
AU - Coşgun, Özlem
AU - Ekinci, Yeliz
AU - Ugurlu, Seda
PY - 2012
Y1 - 2012
N2 - In this study, the pricing problem of a transportation service provider company is considered. Our goal is to find optimal prices by using probabilistic dynamic programming. A fuzzy rule-based expert system is used to identify the demand levels under different price levels and other characteristics of the journey. The results obtained by optimal price policies show that the revenue levels and the capacity utilization increase by applying dynamic pricing policy instead of fixed pricing. Thus, the diversification of price policies under different conditions is advantageous for the company.
AB - In this study, the pricing problem of a transportation service provider company is considered. Our goal is to find optimal prices by using probabilistic dynamic programming. A fuzzy rule-based expert system is used to identify the demand levels under different price levels and other characteristics of the journey. The results obtained by optimal price policies show that the revenue levels and the capacity utilization increase by applying dynamic pricing policy instead of fixed pricing. Thus, the diversification of price policies under different conditions is advantageous for the company.
UR - http://www.scopus.com/inward/record.url?scp=84892665406&partnerID=8YFLogxK
U2 - 10.1142/9789814417747_0153
DO - 10.1142/9789814417747_0153
M3 - Conference contribution
AN - SCOPUS:84892665406
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 957
EP - 962
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Y2 - 26 August 2012 through 29 August 2012
ER -