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

Özlem Coşgun; Yeliz Ekinci; Seda Yanik

doi:10.1016/j.knosys.2014.04.015

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

Özlem Coşgun^*
, Yeliz Ekinci
, Seda Yanik

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Fatih University
Istanbul Bilgi University

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

27 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 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.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	88-96
Sayfa sayısı	9
Dergi	Knowledge-Based Systems
Hacim	70
DOI'lar	https://doi.org/10.1016/j.knosys.2014.04.015
Yayın durumu	Yayınlandı - 1 Kas 2014

Bibliyografik not

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

Belgeye Erişim

10.1016/j.knosys.2014.04.015

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company",

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.",

keywords = "Demand forecasting, Dynamic pricing, Dynamic programming, Fuzzy IF-THEN rules, Transportation",

author = "{\"O}zlem Co{\c s}gun and Yeliz Ekinci and Seda Yanik",

year = "2014",

month = nov,

day = "1",

doi = "10.1016/j.knosys.2014.04.015",

language = "English",

volume = "70",

pages = "88--96",

journal = "Knowledge-Based Systems",

issn = "0950-7051",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company

AU - Coşgun, Özlem

AU - Ekinci, Yeliz

AU - Yanik, Seda

PY - 2014/11/1

Y1 - 2014/11/1

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 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.

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 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.

KW - Demand forecasting

KW - Dynamic pricing

KW - Dynamic programming

KW - Fuzzy IF-THEN rules

KW - Transportation

UR - https://www.scopus.com/pages/publications/84908478501

U2 - 10.1016/j.knosys.2014.04.015

DO - 10.1016/j.knosys.2014.04.015

M3 - Article

AN - SCOPUS:84908478501

SN - 0950-7051

VL - 70

SP - 88

EP - 96

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

ER -

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

Özet

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap