A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain

Nurşah Alkan; Cengiz Kahraman

doi:10.1007/978-3-031-39777-6_45

A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain

Nurşah Alkan^*
, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

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

7 Citations (Scopus)

Abstract

Intuitionistic fuzzy sets (IFSs), which are the most widely used fuzzy set extension in the literature, are represented by membership and non-membership degrees. Since IFSs and their direct extensions are usually expressed with crisp membership and non-membership degrees, it is known that the IFSs existing in the literature are discrete IFSs or linear continuous IFSs. However, although IFSs have been used to tackle different real-life problems, it is often difficult to estimate crisp values for membership and non-membership degrees. Therefore, in this study, it is aimed to develop a multi-criteria decision-making model based on novel nonlinear continuous intuitionistic fuzzy sets. CINFUSs, consisting of membership and non-membership degrees represented by second-order nonlinear functions, have been used to develop the CODAS method in a fuzzy environment. The CINFUS-based CODAS method developed in the study has been applied to the Internet of things (IOT) service provider selection for sustainable supplier selection.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editors	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	371-381
Number of pages	11
ISBN (Print)	9783031397769
DOIs	https://doi.org/10.1007/978-3-031-39777-6_45
Publication status	Published - 2023
Event	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Duration: 22 Aug 2023 → 24 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	759 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/Territory	Turkey
City	Istanbul
Period	22/08/23 → 24/08/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

Keywords

CINFUS
CODAS
Continuous Intuitionistic Fuzzy Sets
IOT
sustainable supply chain

Access to Document

10.1007/978-3-031-39777-6_45

Cite this

Alkan, N., & Kahraman, C. (2023). A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 371-381). (Lecture Notes in Networks and Systems; Vol. 759 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-39777-6_45

Alkan, Nurşah ; Kahraman, Cengiz. / A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain. Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. editor / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 371-381 (Lecture Notes in Networks and Systems).

@inproceedings{79a7bc847e9b4ef4adbd3fa4137cdb50,

title = "A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain",

abstract = "Intuitionistic fuzzy sets (IFSs), which are the most widely used fuzzy set extension in the literature, are represented by membership and non-membership degrees. Since IFSs and their direct extensions are usually expressed with crisp membership and non-membership degrees, it is known that the IFSs existing in the literature are discrete IFSs or linear continuous IFSs. However, although IFSs have been used to tackle different real-life problems, it is often difficult to estimate crisp values for membership and non-membership degrees. Therefore, in this study, it is aimed to develop a multi-criteria decision-making model based on novel nonlinear continuous intuitionistic fuzzy sets. CINFUSs, consisting of membership and non-membership degrees represented by second-order nonlinear functions, have been used to develop the CODAS method in a fuzzy environment. The CINFUS-based CODAS method developed in the study has been applied to the Internet of things (IOT) service provider selection for sustainable supplier selection.",

keywords = "CINFUS, CODAS, Continuous Intuitionistic Fuzzy Sets, IOT, sustainable supply chain",

author = "Nur{\c s}ah Alkan and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference ; Conference date: 22-08-2023 Through 24-08-2023",

year = "2023",

doi = "10.1007/978-3-031-39777-6\_45",

language = "English",

isbn = "9783031397769",

series = "Lecture Notes in Networks and Systems",

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

pages = "371--381",

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

booktitle = "Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference",

address = "Germany",

}

Alkan, N & Kahraman, C 2023, A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain. in C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, vol. 759 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 371-381, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Turkey, 22/08/23. https://doi.org/10.1007/978-3-031-39777-6_45

A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain. / Alkan, Nurşah; Kahraman, Cengiz.
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 371-381 (Lecture Notes in Networks and Systems; Vol. 759 LNNS).

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

TY - GEN

T1 - A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain

AU - Alkan, Nurşah

AU - Kahraman, Cengiz

PY - 2023

Y1 - 2023

N2 - Intuitionistic fuzzy sets (IFSs), which are the most widely used fuzzy set extension in the literature, are represented by membership and non-membership degrees. Since IFSs and their direct extensions are usually expressed with crisp membership and non-membership degrees, it is known that the IFSs existing in the literature are discrete IFSs or linear continuous IFSs. However, although IFSs have been used to tackle different real-life problems, it is often difficult to estimate crisp values for membership and non-membership degrees. Therefore, in this study, it is aimed to develop a multi-criteria decision-making model based on novel nonlinear continuous intuitionistic fuzzy sets. CINFUSs, consisting of membership and non-membership degrees represented by second-order nonlinear functions, have been used to develop the CODAS method in a fuzzy environment. The CINFUS-based CODAS method developed in the study has been applied to the Internet of things (IOT) service provider selection for sustainable supplier selection.

AB - Intuitionistic fuzzy sets (IFSs), which are the most widely used fuzzy set extension in the literature, are represented by membership and non-membership degrees. Since IFSs and their direct extensions are usually expressed with crisp membership and non-membership degrees, it is known that the IFSs existing in the literature are discrete IFSs or linear continuous IFSs. However, although IFSs have been used to tackle different real-life problems, it is often difficult to estimate crisp values for membership and non-membership degrees. Therefore, in this study, it is aimed to develop a multi-criteria decision-making model based on novel nonlinear continuous intuitionistic fuzzy sets. CINFUSs, consisting of membership and non-membership degrees represented by second-order nonlinear functions, have been used to develop the CODAS method in a fuzzy environment. The CINFUS-based CODAS method developed in the study has been applied to the Internet of things (IOT) service provider selection for sustainable supplier selection.

KW - CINFUS

KW - CODAS

KW - Continuous Intuitionistic Fuzzy Sets

KW - IOT

KW - sustainable supply chain

UR - https://www.scopus.com/pages/publications/85172720674

U2 - 10.1007/978-3-031-39777-6_45

DO - 10.1007/978-3-031-39777-6_45

M3 - Conference contribution

AN - SCOPUS:85172720674

SN - 9783031397769

T3 - Lecture Notes in Networks and Systems

SP - 371

EP - 381

BT - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

A2 - Kahraman, Cengiz

A2 - Sari, Irem Ucal

A2 - Oztaysi, Basar

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Tolga, A. Çağrı

PB - Springer Science and Business Media Deutschland GmbH

T2 - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

Y2 - 22 August 2023 through 24 August 2023

ER -

Alkan N, Kahraman C. A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain. In Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, editors, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 371-381. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39777-6_45

A Novel Continuous Intuitionistic Fuzzy CODAS Method and Its Application to IOT Service Provider Selection for Sustainable Supply Chain

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this