A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring

Basar Oztaysi; Sezi Cevik Onar; Cengiz Kahraman

doi:10.1007/978-3-030-51156-2_18

A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring

Basar Oztaysi^*
, Sezi Cevik Onar
, Cengiz Kahraman

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

Beacon technology enables applications that provide location-based services such as notifications, tracking, and navigation via smart mobile devices. One of the most commonly adopted business models based on beacon technology is location-based advertisements. In this model, target customers are defined, and the most appropriate advertisement is sent to the customer based on his/her location. While the conversion rates of this model are high, there is a need for a dynamic pricing model that calculates the value of an advertisement to an advertiser in a given location. In this study, we propose a price of advertisement pricing model by using the Spherical Fuzzy AHP Scoring method.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısı	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer
Sayfalar	142-150
Sayfa sayısı	9
ISBN (Basılı)	9783030511555
DOI'lar	https://doi.org/10.1007/978-3-030-51156-2_18
Yayın durumu	Yayınlandı - 2021
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Süre: 21 Tem 2020 → 23 Tem 2020

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1197 AISC
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	21/07/20 → 23/07/20

Bibliyografik not

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-51156-2_18

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Oztaysi, B., Onar, S. C., & Kahraman, C. (2021). A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 142-150). (Advances in Intelligent Systems and Computing; Hac. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_18

Oztaysi, Basar ; Onar, Sezi Cevik ; Kahraman, Cengiz. / A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 142-150 (Advances in Intelligent Systems and Computing).

@inproceedings{230e1e9e1df94578b40536d6c673ecb3,

title = "A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring",

abstract = "Beacon technology enables applications that provide location-based services such as notifications, tracking, and navigation via smart mobile devices. One of the most commonly adopted business models based on beacon technology is location-based advertisements. In this model, target customers are defined, and the most appropriate advertisement is sent to the customer based on his/her location. While the conversion rates of this model are high, there is a need for a dynamic pricing model that calculates the value of an advertisement to an advertiser in a given location. In this study, we propose a price of advertisement pricing model by using the Spherical Fuzzy AHP Scoring method.",

keywords = "AHP Scoring, Location-based systems, Spherical fuzzy sets",

author = "Basar Oztaysi and Onar, \{Sezi Cevik\} and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2\_18",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "142--150",

editor = "Cengiz Kahraman and \{Cevik Onar\}, Sezi and Basar Oztaysi and Sari, \{Irem Ucal\} and Selcuk Cebi and Tolga, \{A. Cagri\}",

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Oztaysi, B, Onar, SC & Kahraman, C 2021, A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, hac. 1197 AISC, Springer, pp. 142-150, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_18

A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring. / Oztaysi, Basar; Onar, Sezi Cevik; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 142-150 (Advances in Intelligent Systems and Computing; Hac. 1197 AISC).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring

AU - Oztaysi, Basar

AU - Onar, Sezi Cevik

AU - Kahraman, Cengiz

PY - 2021

Y1 - 2021

N2 - Beacon technology enables applications that provide location-based services such as notifications, tracking, and navigation via smart mobile devices. One of the most commonly adopted business models based on beacon technology is location-based advertisements. In this model, target customers are defined, and the most appropriate advertisement is sent to the customer based on his/her location. While the conversion rates of this model are high, there is a need for a dynamic pricing model that calculates the value of an advertisement to an advertiser in a given location. In this study, we propose a price of advertisement pricing model by using the Spherical Fuzzy AHP Scoring method.

AB - Beacon technology enables applications that provide location-based services such as notifications, tracking, and navigation via smart mobile devices. One of the most commonly adopted business models based on beacon technology is location-based advertisements. In this model, target customers are defined, and the most appropriate advertisement is sent to the customer based on his/her location. While the conversion rates of this model are high, there is a need for a dynamic pricing model that calculates the value of an advertisement to an advertiser in a given location. In this study, we propose a price of advertisement pricing model by using the Spherical Fuzzy AHP Scoring method.

KW - AHP Scoring

KW - Location-based systems

KW - Spherical fuzzy sets

UR - https://www.scopus.com/pages/publications/85088746174

U2 - 10.1007/978-3-030-51156-2_18

DO - 10.1007/978-3-030-51156-2_18

M3 - Conference contribution

AN - SCOPUS:85088746174

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 142

EP - 150

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Oztaysi B, Onar SC, Kahraman C. A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 142-150. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_18

A Fuzzy Pricing Model for Mobile Advertisements by Using Spherical Fuzzy AHP Scoring

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap