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

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Publisher	Springer Verlag
Pages	517-526
Number of pages	10
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_64
Publication status	Published - 2020
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1029
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/Territory	Turkey
City	Istanbul
Period	23/07/19 → 25/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Aggregation operator
Customer segmentation
Interval-Valued neutrosophic set
Neutrosophic sets
Single-Valued neutrosophic set

Access to Document

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

Cite this

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; Vol. 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. editor / 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).

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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",

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

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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, vol. 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; Vol. 1029).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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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

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

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SN - 9783030237554

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

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A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

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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, editors, 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

Abstract

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Bibliographical note

Keywords

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