Customer segmentation method determination using neutrosophic sets

Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi

doi:10.1007/978-3-030-23756-1_64

Customer segmentation method determination using neutrosophic sets

Cengiz Kahraman^*, Sezi Cevik Onar, Basar Oztaysi

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

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

5 Atıf (Scopus)

Özet

Customer segmentation is the process of dividing customers into groups having similar features. Deciding the type of segmentation is a multiattribute decision problem that should be considered under vague and imprecise environment. This paper compares the customer segmentation methods based on neutrosophic aggregation operators. Two different neutrosophic aggregation operators are used for the comparison of customer segmentation methods. These are interval-valued weighted aggregation operator and interval-valued weighted geometric average operator. An illustrative example is also presented.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	517-526
Sayfa sayısı	10
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_64
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

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

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-23756-1_64

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kahraman, C., Onar, S. C., & Oztaysi, B. (2020). Customer segmentation method determination using neutrosophic sets. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 517-526). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_64

Kahraman, Cengiz ; Onar, Sezi Cevik ; Oztaysi, Basar. / Customer segmentation method determination using neutrosophic sets. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 517-526 (Advances in Intelligent Systems and Computing).

@inproceedings{ff08890fce0c4b6ebef430a1f8f101dc,

title = "Customer segmentation method determination using neutrosophic sets",

abstract = "Customer segmentation is the process of dividing customers into groups having similar features. Deciding the type of segmentation is a multiattribute decision problem that should be considered under vague and imprecise environment. This paper compares the customer segmentation methods based on neutrosophic aggregation operators. Two different neutrosophic aggregation operators are used for the comparison of customer segmentation methods. These are interval-valued weighted aggregation operator and interval-valued weighted geometric average operator. An illustrative example is also presented.",

keywords = "Aggregation operator, Customer segmentation, Interval-Valued neutrosophic set, Neutrosophic sets, Single-Valued neutrosophic set",

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

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_64",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "517--526",

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

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Kahraman, C , Onar, SC & Oztaysi, B 2020, Customer segmentation method determination using neutrosophic sets. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 517-526, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_64

Customer segmentation method determination using neutrosophic sets. / Kahraman, Cengiz ; Onar, Sezi Cevik ; Oztaysi, Basar.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 517-526 (Advances in Intelligent Systems and Computing; Hac. 1029).

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

TY - GEN

T1 - Customer segmentation method determination using neutrosophic sets

AU - Kahraman, Cengiz

AU - Onar, Sezi Cevik

AU - Oztaysi, Basar

PY - 2020

Y1 - 2020

N2 - Customer segmentation is the process of dividing customers into groups having similar features. Deciding the type of segmentation is a multiattribute decision problem that should be considered under vague and imprecise environment. This paper compares the customer segmentation methods based on neutrosophic aggregation operators. Two different neutrosophic aggregation operators are used for the comparison of customer segmentation methods. These are interval-valued weighted aggregation operator and interval-valued weighted geometric average operator. An illustrative example is also presented.

AB - Customer segmentation is the process of dividing customers into groups having similar features. Deciding the type of segmentation is a multiattribute decision problem that should be considered under vague and imprecise environment. This paper compares the customer segmentation methods based on neutrosophic aggregation operators. Two different neutrosophic aggregation operators are used for the comparison of customer segmentation methods. These are interval-valued weighted aggregation operator and interval-valued weighted geometric average operator. An illustrative example is also presented.

KW - Aggregation operator

KW - Customer segmentation

KW - Interval-Valued neutrosophic set

KW - Neutrosophic sets

KW - Single-Valued neutrosophic set

UR - http://www.scopus.com/inward/record.url?scp=85069454336&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-23756-1_64

DO - 10.1007/978-3-030-23756-1_64

M3 - Conference contribution

AN - SCOPUS:85069454336

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 517

EP - 526

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Kahraman C , Onar SC , Oztaysi B. Customer segmentation method determination using neutrosophic sets. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 517-526. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_64

Customer segmentation method determination using neutrosophic sets

Özet

Yayın serisi

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

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap