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

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	200-207
Sayfa sayısı	8
ISBN (Basılı)	9783031091728
DOI'lar	https://doi.org/10.1007/978-3-031-09173-5_26
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Süre: 19 Tem 2022 → 21 Tem 2022

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	504 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	19/07/22 → 21/07/22

Bibliyografik not

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

BM SKH

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Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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; Hac. 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. editör / 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).

@inproceedings{ae014349040e42adb3b4fcf2ec539628,

title = "Electric Vehicle Selection by Using Fuzzy SMART",

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}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

year = "2022",

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

language = "English",

isbn = "9783031091728",

series = "Lecture Notes in Networks and Systems",

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

pages = "200--207",

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

booktitle = "Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference",

address = "Germany",

}

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, hac. 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; Hac. 504 LNNS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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

M3 - Conference contribution

AN - SCOPUS:85135079090

SN - 9783031091728

T3 - Lecture Notes in Networks and Systems

SP - 200

EP - 207

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, editörler, 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

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