Fuzzy rule-based demand forecasting for dynamic pricing

Özlem Coşgun, Yeliz Ekinci, Seda Ugurlu

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıWorld 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.
YayınlayanWorld Scientific Publishing Co. Pte Ltd
Sayfalar957-962
Sayfa sayısı6
ISBN (Basılı)9789814417730
DOI'lar
Yayın durumuYayınlandı - 2012
Etkinlik10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Süre: 26 Ağu 201229 Ağu 2012

Yayın serisi

AdıWorld 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.
Hacim7

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???event.eventtypes.event.conference???10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot26/08/1229/08/12

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