A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria

Semih Süleymanoğlu; Ferhan Çebi; Ahmet Tezcan Tekin

doi:10.1007/978-3-031-98565-2_1

A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria

Semih Süleymanoğlu, Ferhan Çebi, Ahmet Tezcan Tekin^*

^*Corresponding author for this work

Department of Management Engineering

Istanbul Technical University

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

Abstract

Electric vehicles (EVs) have increasingly emerged as a prominent alternative in the transportation sector, driven by global goals such as environmental sustainability, energy efficiency, and the reduction of carbon emissions. The widespread adoption of EVs is not solely dependent on technological advancements but also closely tied to a comprehensive understanding of user preferences. These preferences are shaped by the interaction of numerous technical, economic, environmental, and social criteria. This study systematically evaluates the criteria influencing electric vehicle preferences. A total of 16 interrelated criteria were identified through a detailed literature review and expert consultations. The relationships among these criteria were modeled in a directional and weighted structure. The analysis employed the Fuzzy Cognitive Mapping (FCM) method, which enables the identification of causal and systemic interactions between multiple factors. FCM offers a flexible and descriptive modeling framework for understanding the holistic dynamics of complex systems. The findings of the study contribute to a deeper understanding of the multidimensional nature of electric vehicle preferences and provide strategic insights for manufacturers, decision-makers, and policymakers seeking to support the adoption and diffusion of electric mobility.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference
Editors	Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi, Sezi Cevik Onar, Cagri Tolga, Irem Ucal Sari, Irem Otay
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-10
Number of pages	8
ISBN (Print)	9783031985645
DOIs	https://doi.org/10.1007/978-3-031-98565-2_1
Publication status	Published - 2025
Event	7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Turkey Duration: 29 Jul 2025 → 31 Jul 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1530 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025
Country/Territory	Turkey
City	Istanbul
Period	29/07/25 → 31/07/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Conceptual Modelling
Electric Vehicles
Fuzzy Cognitive Mapping

UN SDGs

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

Access to Document

10.1007/978-3-031-98565-2_1

Cite this

Süleymanoğlu, S., Çebi, F., & Tekin, A. T. (2025). A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria. In C. Kahraman, S. Cebi, B. Oztaysi, S. Cevik Onar, C. Tolga, I. Ucal Sari, & I. Otay (Eds.), Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference (pp. 3-10). (Lecture Notes in Networks and Systems; Vol. 1530 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-98565-2_1

Süleymanoğlu, Semih ; Çebi, Ferhan ; Tekin, Ahmet Tezcan. / A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria. Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. editor / Cengiz Kahraman ; Selcuk Cebi ; Basar Oztaysi ; Sezi Cevik Onar ; Cagri Tolga ; Irem Ucal Sari ; Irem Otay. Springer Science and Business Media Deutschland GmbH, 2025. pp. 3-10 (Lecture Notes in Networks and Systems).

@inproceedings{25087713fafa467c89038804516d8c1d,

title = "A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria",

abstract = "Electric vehicles (EVs) have increasingly emerged as a prominent alternative in the transportation sector, driven by global goals such as environmental sustainability, energy efficiency, and the reduction of carbon emissions. The widespread adoption of EVs is not solely dependent on technological advancements but also closely tied to a comprehensive understanding of user preferences. These preferences are shaped by the interaction of numerous technical, economic, environmental, and social criteria. This study systematically evaluates the criteria influencing electric vehicle preferences. A total of 16 interrelated criteria were identified through a detailed literature review and expert consultations. The relationships among these criteria were modeled in a directional and weighted structure. The analysis employed the Fuzzy Cognitive Mapping (FCM) method, which enables the identification of causal and systemic interactions between multiple factors. FCM offers a flexible and descriptive modeling framework for understanding the holistic dynamics of complex systems. The findings of the study contribute to a deeper understanding of the multidimensional nature of electric vehicle preferences and provide strategic insights for manufacturers, decision-makers, and policymakers seeking to support the adoption and diffusion of electric mobility.",

keywords = "Conceptual Modelling, Electric Vehicles, Fuzzy Cognitive Mapping",

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note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 ; Conference date: 29-07-2025 Through 31-07-2025",

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Süleymanoğlu, S, Çebi, F & Tekin, AT 2025, A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria. in C Kahraman, S Cebi, B Oztaysi, S Cevik Onar, C Tolga, I Ucal Sari & I Otay (eds), Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. Lecture Notes in Networks and Systems, vol. 1530 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 3-10, 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025, Istanbul, Turkey, 29/07/25. https://doi.org/10.1007/978-3-031-98565-2_1

A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria. / Süleymanoğlu, Semih; Çebi, Ferhan; Tekin, Ahmet Tezcan.
Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. ed. / Cengiz Kahraman; Selcuk Cebi; Basar Oztaysi; Sezi Cevik Onar; Cagri Tolga; Irem Ucal Sari; Irem Otay. Springer Science and Business Media Deutschland GmbH, 2025. p. 3-10 (Lecture Notes in Networks and Systems; Vol. 1530 LNNS).

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

TY - GEN

T1 - A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria

AU - Süleymanoğlu, Semih

AU - Çebi, Ferhan

AU - Tekin, Ahmet Tezcan

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

N2 - Electric vehicles (EVs) have increasingly emerged as a prominent alternative in the transportation sector, driven by global goals such as environmental sustainability, energy efficiency, and the reduction of carbon emissions. The widespread adoption of EVs is not solely dependent on technological advancements but also closely tied to a comprehensive understanding of user preferences. These preferences are shaped by the interaction of numerous technical, economic, environmental, and social criteria. This study systematically evaluates the criteria influencing electric vehicle preferences. A total of 16 interrelated criteria were identified through a detailed literature review and expert consultations. The relationships among these criteria were modeled in a directional and weighted structure. The analysis employed the Fuzzy Cognitive Mapping (FCM) method, which enables the identification of causal and systemic interactions between multiple factors. FCM offers a flexible and descriptive modeling framework for understanding the holistic dynamics of complex systems. The findings of the study contribute to a deeper understanding of the multidimensional nature of electric vehicle preferences and provide strategic insights for manufacturers, decision-makers, and policymakers seeking to support the adoption and diffusion of electric mobility.

AB - Electric vehicles (EVs) have increasingly emerged as a prominent alternative in the transportation sector, driven by global goals such as environmental sustainability, energy efficiency, and the reduction of carbon emissions. The widespread adoption of EVs is not solely dependent on technological advancements but also closely tied to a comprehensive understanding of user preferences. These preferences are shaped by the interaction of numerous technical, economic, environmental, and social criteria. This study systematically evaluates the criteria influencing electric vehicle preferences. A total of 16 interrelated criteria were identified through a detailed literature review and expert consultations. The relationships among these criteria were modeled in a directional and weighted structure. The analysis employed the Fuzzy Cognitive Mapping (FCM) method, which enables the identification of causal and systemic interactions between multiple factors. FCM offers a flexible and descriptive modeling framework for understanding the holistic dynamics of complex systems. The findings of the study contribute to a deeper understanding of the multidimensional nature of electric vehicle preferences and provide strategic insights for manufacturers, decision-makers, and policymakers seeking to support the adoption and diffusion of electric mobility.

KW - Conceptual Modelling

KW - Electric Vehicles

KW - Fuzzy Cognitive Mapping

UR - https://www.scopus.com/pages/publications/105013080106

U2 - 10.1007/978-3-031-98565-2_1

DO - 10.1007/978-3-031-98565-2_1

M3 - Conference contribution

AN - SCOPUS:105013080106

SN - 9783031985645

T3 - Lecture Notes in Networks and Systems

SP - 3

EP - 10

BT - Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference

A2 - Kahraman, Cengiz

A2 - Cebi, Selcuk

A2 - Oztaysi, Basar

A2 - Cevik Onar, Sezi

A2 - Tolga, Cagri

A2 - Ucal Sari, Irem

A2 - Otay, Irem

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025

Y2 - 29 July 2025 through 31 July 2025

ER -

Süleymanoğlu S, Çebi F, Tekin AT. A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria. In Kahraman C, Cebi S, Oztaysi B, Cevik Onar S, Tolga C, Ucal Sari I, Otay I, editors, Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. Springer Science and Business Media Deutschland GmbH. 2025. p. 3-10. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-98565-2_1

A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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