A hesitant fuzzy correspondence analysis

Erhan Bozdag; Ozgur Yanmaz; Cigdem Kadaifci

doi:10.1007/978-3-030-23756-1_45

A hesitant fuzzy correspondence analysis

Erhan Bozdag^*, Ozgur Yanmaz, Cigdem Kadaifci

^*Corresponding author for this work

Department of Industrial Engineering

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

2 Citations (Scopus)

Abstract

Correspondence Analysis (CA), an explanatory multivariate statistical technique, allows a visual representation of relationships between categorical variables. Even the method is widely used in most of the disciplines, in its original form, CA is not able to represent the uncertainty involving in real life problems. To address this issue, a Hesitant Fuzzy Sets approach to CA is proposed to represent a particular type of uncertainty caused by human doubt.

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	362-368
Number of pages	7
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_45
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

Correspondence analysis
Hesitant fuzzy sets
Uncertainty

Access to Document

10.1007/978-3-030-23756-1_45

Cite this

Bozdag, E., Yanmaz, O., & Kadaifci, C. (2020). A hesitant fuzzy correspondence analysis. 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. 362-368). (Advances in Intelligent Systems and Computing; Vol. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_45

Bozdag, Erhan ; Yanmaz, Ozgur ; Kadaifci, Cigdem. / A hesitant fuzzy correspondence analysis. 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. 362-368 (Advances in Intelligent Systems and Computing).

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title = "A hesitant fuzzy correspondence analysis",

abstract = "Correspondence Analysis (CA), an explanatory multivariate statistical technique, allows a visual representation of relationships between categorical variables. Even the method is widely used in most of the disciplines, in its original form, CA is not able to represent the uncertainty involving in real life problems. To address this issue, a Hesitant Fuzzy Sets approach to CA is proposed to represent a particular type of uncertainty caused by human doubt.",

keywords = "Correspondence analysis, Hesitant fuzzy sets, Uncertainty",

author = "Erhan Bozdag and Ozgur Yanmaz and Cigdem Kadaifci",

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_45",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "362--368",

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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Bozdag, E, Yanmaz, O & Kadaifci, C 2020, A hesitant fuzzy correspondence analysis. 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. 362-368, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_45

A hesitant fuzzy correspondence analysis. / Bozdag, Erhan; Yanmaz, Ozgur; Kadaifci, Cigdem.
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. 362-368 (Advances in Intelligent Systems and Computing; Vol. 1029).

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

TY - GEN

T1 - A hesitant fuzzy correspondence analysis

AU - Bozdag, Erhan

AU - Yanmaz, Ozgur

AU - Kadaifci, Cigdem

PY - 2020

Y1 - 2020

N2 - Correspondence Analysis (CA), an explanatory multivariate statistical technique, allows a visual representation of relationships between categorical variables. Even the method is widely used in most of the disciplines, in its original form, CA is not able to represent the uncertainty involving in real life problems. To address this issue, a Hesitant Fuzzy Sets approach to CA is proposed to represent a particular type of uncertainty caused by human doubt.

AB - Correspondence Analysis (CA), an explanatory multivariate statistical technique, allows a visual representation of relationships between categorical variables. Even the method is widely used in most of the disciplines, in its original form, CA is not able to represent the uncertainty involving in real life problems. To address this issue, a Hesitant Fuzzy Sets approach to CA is proposed to represent a particular type of uncertainty caused by human doubt.

KW - Correspondence analysis

KW - Hesitant fuzzy sets

KW - Uncertainty

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U2 - 10.1007/978-3-030-23756-1_45

DO - 10.1007/978-3-030-23756-1_45

M3 - Conference contribution

AN - SCOPUS:85069434688

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 362

EP - 368

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 -

Bozdag E, Yanmaz O, Kadaifci C. A hesitant fuzzy correspondence analysis. 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. 362-368. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_45

A hesitant fuzzy correspondence analysis

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Keywords

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