Electric Vehicle Selection by Using Fuzzy SMART

Basar Oztaysi; Cengiz Kahraman; Sezi Cevik Onar

doi:10.1007/978-3-031-09173-5_26

Electric Vehicle Selection by Using Fuzzy SMART

Basar Oztaysi^*, Cengiz Kahraman, Sezi Cevik Onar

^*Corresponding author for this work

Department of Industrial Engineering

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

4 Citations (Scopus)

Abstract

Global warming is disturbing both the environment and quality of life. A cause of global warming is greenhouse gas (GHG) emissions which are caused by using fossil fuels for transportation and power generation. As a novel source of energy, the world is moving towards renewable and clean energy. In the transportation sector, usage of electric vehicles supports decreasing GHG emissions. As a result, we face a new decision problem about the selection of electric vehicles. The electric vehicle selection problem is a multicriteria decision-making problem that includes various criteria and alternatives. The criteria considered within the scope of the problem may involve objective criteria such as max speed and subjective criteria such as the design of the car. In this study, we propose Fuzzy SMART (Simple Multi Attribute Rating Technique) as an extension of the crisp SMART method. With the proposed method both crisp and imprecise criteria can be integrated within a decision problem. In this study, we construct a sample decision model for the electric vehicle selection problem and solve it by using the proposed Fuzzy SMART method.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	200-207
Number of pages	8
ISBN (Print)	9783031091728
DOIs	https://doi.org/10.1007/978-3-031-09173-5_26
Publication status	Published - 2022
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Duration: 19 Jul 2022 → 21 Jul 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	504 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Country/Territory	Turkey
City	Izmir
Period	19/07/22 → 21/07/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Electric vehicle selection
Fuzzy sets
Smart

UN SDGs

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

Access to Document

10.1007/978-3-031-09173-5_26

Cite this

Oztaysi, B., Kahraman, C., & Onar, S. C. (2022). Electric Vehicle Selection by Using Fuzzy SMART. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference (pp. 200-207). (Lecture Notes in Networks and Systems; Vol. 504 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09173-5_26

Oztaysi, Basar ; Kahraman, Cengiz ; Onar, Sezi Cevik. / Electric Vehicle Selection by Using Fuzzy SMART. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 200-207 (Lecture Notes in Networks and Systems).

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abstract = "Global warming is disturbing both the environment and quality of life. A cause of global warming is greenhouse gas (GHG) emissions which are caused by using fossil fuels for transportation and power generation. As a novel source of energy, the world is moving towards renewable and clean energy. In the transportation sector, usage of electric vehicles supports decreasing GHG emissions. As a result, we face a new decision problem about the selection of electric vehicles. The electric vehicle selection problem is a multicriteria decision-making problem that includes various criteria and alternatives. The criteria considered within the scope of the problem may involve objective criteria such as max speed and subjective criteria such as the design of the car. In this study, we propose Fuzzy SMART (Simple Multi Attribute Rating Technique) as an extension of the crisp SMART method. With the proposed method both crisp and imprecise criteria can be integrated within a decision problem. In this study, we construct a sample decision model for the electric vehicle selection problem and solve it by using the proposed Fuzzy SMART method.",

keywords = "Electric vehicle selection, Fuzzy sets, Smart",

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

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year = "2022",

doi = "10.1007/978-3-031-09173-5_26",

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Oztaysi, B , Kahraman, C & Onar, SC 2022, Electric Vehicle Selection by Using Fuzzy SMART. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Lecture Notes in Networks and Systems, vol. 504 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 200-207, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09173-5_26

Electric Vehicle Selection by Using Fuzzy SMART. / Oztaysi, Basar ; Kahraman, Cengiz ; Onar, Sezi Cevik.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 200-207 (Lecture Notes in Networks and Systems; Vol. 504 LNNS).

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

TY - GEN

T1 - Electric Vehicle Selection by Using Fuzzy SMART

AU - Oztaysi, Basar

AU - Kahraman, Cengiz

AU - Onar, Sezi Cevik

PY - 2022

Y1 - 2022

N2 - Global warming is disturbing both the environment and quality of life. A cause of global warming is greenhouse gas (GHG) emissions which are caused by using fossil fuels for transportation and power generation. As a novel source of energy, the world is moving towards renewable and clean energy. In the transportation sector, usage of electric vehicles supports decreasing GHG emissions. As a result, we face a new decision problem about the selection of electric vehicles. The electric vehicle selection problem is a multicriteria decision-making problem that includes various criteria and alternatives. The criteria considered within the scope of the problem may involve objective criteria such as max speed and subjective criteria such as the design of the car. In this study, we propose Fuzzy SMART (Simple Multi Attribute Rating Technique) as an extension of the crisp SMART method. With the proposed method both crisp and imprecise criteria can be integrated within a decision problem. In this study, we construct a sample decision model for the electric vehicle selection problem and solve it by using the proposed Fuzzy SMART method.

AB - Global warming is disturbing both the environment and quality of life. A cause of global warming is greenhouse gas (GHG) emissions which are caused by using fossil fuels for transportation and power generation. As a novel source of energy, the world is moving towards renewable and clean energy. In the transportation sector, usage of electric vehicles supports decreasing GHG emissions. As a result, we face a new decision problem about the selection of electric vehicles. The electric vehicle selection problem is a multicriteria decision-making problem that includes various criteria and alternatives. The criteria considered within the scope of the problem may involve objective criteria such as max speed and subjective criteria such as the design of the car. In this study, we propose Fuzzy SMART (Simple Multi Attribute Rating Technique) as an extension of the crisp SMART method. With the proposed method both crisp and imprecise criteria can be integrated within a decision problem. In this study, we construct a sample decision model for the electric vehicle selection problem and solve it by using the proposed Fuzzy SMART method.

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M3 - Conference contribution

AN - SCOPUS:85135079090

SN - 9783031091728

T3 - Lecture Notes in Networks and Systems

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BT - Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Tolga, A. Cagri

A2 - Cebi, Selcuk

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2022

Y2 - 19 July 2022 through 21 July 2022

ER -

Oztaysi B , Kahraman C , Onar SC. Electric Vehicle Selection by Using Fuzzy SMART. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editors, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 200-207. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09173-5_26

Electric Vehicle Selection by Using Fuzzy SMART

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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