Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method

Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi

doi:10.1007/978-3-031-70018-7_76

Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method

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

Abstract

Due to rising consumption and the need for sustainable growth, choosing green suppliers is becoming a critical issue for environmental conservation. A multiple criteria group decision-making (MCDM) problem is used in the green supplier selection process, wherein a number of experts rank suppliers according to several criteria. The Euclidean and Taxicab distances—which are computed using the negative-ideal point—are used in the COmbinative Distance-based Assessment System (CODAS) to assess the desirability of a potential alternative. According to the CODAS technique, the optimum option is the one that is closest to the negative ideal solution. Decimal numbers are needed for membership, non-membership, and indecision degrees in extensions of regular fuzzy sets. Proportional fuzzy sets which have been recently introduced to the literature ease assigning membership degrees in a more sensitive, consistent and stable way. To choose the optimal green supplier alternative, we apply the extended proportional intuitionistic fuzzy (PIF) CODAS technique. Green supplier selection application shows the superiority of the proposed PIF CODAS method.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	688-697
Number of pages	10
ISBN (Print)	9783031700170
DOIs	https://doi.org/10.1007/978-3-031-70018-7_76
Publication status	Published - 2024
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1088 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/Territory	Turkey
City	Canakkale
Period	16/07/24 → 18/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

CODAS
green supplier selection
intuitionistic fuzzy sets
proportional fuzzy sets

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-70018-7_76

Cite this

Kahraman, C., Onar, S. C., & Oztaysi, B. (2024). Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method. In C. Kahraman, S. Cevik Onar, S. Cebi, B. Oztaysi, I. Ucal Sari, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 688-697). (Lecture Notes in Networks and Systems; Vol. 1088 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70018-7_76

Kahraman, Cengiz ; Onar, Sezi Cevik ; Oztaysi, Basar. / Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Selcuk Cebi ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 688-697 (Lecture Notes in Networks and Systems).

@inproceedings{a220d38c81144a67a9732fb2a8213cc9,

title = "Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method",

abstract = "Due to rising consumption and the need for sustainable growth, choosing green suppliers is becoming a critical issue for environmental conservation. A multiple criteria group decision-making (MCDM) problem is used in the green supplier selection process, wherein a number of experts rank suppliers according to several criteria. The Euclidean and Taxicab distances—which are computed using the negative-ideal point—are used in the COmbinative Distance-based Assessment System (CODAS) to assess the desirability of a potential alternative. According to the CODAS technique, the optimum option is the one that is closest to the negative ideal solution. Decimal numbers are needed for membership, non-membership, and indecision degrees in extensions of regular fuzzy sets. Proportional fuzzy sets which have been recently introduced to the literature ease assigning membership degrees in a more sensitive, consistent and stable way. To choose the optimal green supplier alternative, we apply the extended proportional intuitionistic fuzzy (PIF) CODAS technique. Green supplier selection application shows the superiority of the proposed PIF CODAS method.",

keywords = "CODAS, green supplier selection, intuitionistic fuzzy sets, proportional fuzzy sets",

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

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Intelligent and Fuzzy Systems, INFUS 2024 ; Conference date: 16-07-2024 Through 18-07-2024",

year = "2024",

doi = "10.1007/978-3-031-70018-7_76",

language = "English",

isbn = "9783031700170",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "688--697",

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

booktitle = "Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference",

address = "Germany",

}

Kahraman, C , Onar, SC & Oztaysi, B 2024, Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method. in C Kahraman, S Cevik Onar, S Cebi, B Oztaysi, I Ucal Sari & AC Tolga (eds), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Lecture Notes in Networks and Systems, vol. 1088 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 688-697, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-70018-7_76

Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method. / Kahraman, Cengiz ; Onar, Sezi Cevik ; Oztaysi, Basar.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Selcuk Cebi; Basar Oztaysi; Irem Ucal Sari; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 688-697 (Lecture Notes in Networks and Systems; Vol. 1088 LNNS).

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

TY - GEN

T1 - Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method

AU - Kahraman, Cengiz

AU - Onar, Sezi Cevik

AU - Oztaysi, Basar

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Due to rising consumption and the need for sustainable growth, choosing green suppliers is becoming a critical issue for environmental conservation. A multiple criteria group decision-making (MCDM) problem is used in the green supplier selection process, wherein a number of experts rank suppliers according to several criteria. The Euclidean and Taxicab distances—which are computed using the negative-ideal point—are used in the COmbinative Distance-based Assessment System (CODAS) to assess the desirability of a potential alternative. According to the CODAS technique, the optimum option is the one that is closest to the negative ideal solution. Decimal numbers are needed for membership, non-membership, and indecision degrees in extensions of regular fuzzy sets. Proportional fuzzy sets which have been recently introduced to the literature ease assigning membership degrees in a more sensitive, consistent and stable way. To choose the optimal green supplier alternative, we apply the extended proportional intuitionistic fuzzy (PIF) CODAS technique. Green supplier selection application shows the superiority of the proposed PIF CODAS method.

AB - Due to rising consumption and the need for sustainable growth, choosing green suppliers is becoming a critical issue for environmental conservation. A multiple criteria group decision-making (MCDM) problem is used in the green supplier selection process, wherein a number of experts rank suppliers according to several criteria. The Euclidean and Taxicab distances—which are computed using the negative-ideal point—are used in the COmbinative Distance-based Assessment System (CODAS) to assess the desirability of a potential alternative. According to the CODAS technique, the optimum option is the one that is closest to the negative ideal solution. Decimal numbers are needed for membership, non-membership, and indecision degrees in extensions of regular fuzzy sets. Proportional fuzzy sets which have been recently introduced to the literature ease assigning membership degrees in a more sensitive, consistent and stable way. To choose the optimal green supplier alternative, we apply the extended proportional intuitionistic fuzzy (PIF) CODAS technique. Green supplier selection application shows the superiority of the proposed PIF CODAS method.

KW - CODAS

KW - green supplier selection

KW - intuitionistic fuzzy sets

KW - proportional fuzzy sets

UR - http://www.scopus.com/inward/record.url?scp=85203594486&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-70018-7_76

DO - 10.1007/978-3-031-70018-7_76

M3 - Conference contribution

AN - SCOPUS:85203594486

SN - 9783031700170

T3 - Lecture Notes in Networks and Systems

SP - 688

EP - 697

BT - Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Oztaysi, Basar

A2 - Ucal Sari, Irem

A2 - Tolga, A. Cagrı

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2024

Y2 - 16 July 2024 through 18 July 2024

ER -

Kahraman C , Onar SC , Oztaysi B. Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method. In Kahraman C, Cevik Onar S, Cebi S, Oztaysi B, Ucal Sari I, Tolga AC, editors, Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Springer Science and Business Media Deutschland GmbH. 2024. p. 688-697. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70018-7_76

Green Supplier Selection Using Proportional Intuitionistic Fuzzy CODAS Method

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this