Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company

Özlem Coşgun*, Yeliz Ekinci, Seda Yanik

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

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 IF-THEN-rule based system is used to identify the demand levels under different prices and other characteristics of the journey. The results obtained by optimal price policies show that the revenue increases by applying dynamic pricing policy instead of fixed pricing. Thus, the diversification of pricing policies under different conditions is beneficial for the company.

Original languageEnglish
Pages (from-to)88-96
Number of pages9
JournalKnowledge-Based Systems
Volume70
DOIs
Publication statusPublished - 1 Nov 2014

Bibliographical note

Publisher Copyright:
© 2014 Elsevier B.V. All rights reserved.

Keywords

  • Demand forecasting
  • Dynamic pricing
  • Dynamic programming
  • Fuzzy IF-THEN rules
  • Transportation

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