APPLICATION OF VIKOR METHOD BASED ON CIRCULAR INTUITIONISTIC FUZZY SETS IN SELECTING AN ELECTRIFIED TRUCK

Elif Çaloğlu Büyükselçuk

Makale detayları

APPLICATION OF VIKOR METHOD BASED ON CIRCULAR INTUITIONISTIC FUZZY SETS IN SELECTING AN ELECTRIFIED TRUCK

Yazarlar:

Elif Çaloğlu Büyükselçuk

Yayıncı:

Istanbul Ticaret University

Ana Başlıklar:

Çok Ölçütlü Karar Verme

Dergi:

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.402-427

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335707

pISSN:

1305-7820

Anahtar kelimeler:

Özet:

 The increasing population and evolving global consumer behaviors have fostered extensive commercial interactions worldwide. However, this expansion has resulted in heightened environmental pollution. Consequently, nations have initiated measures to mitigate air pollution, particularly stemming from transportation and shipping activities. As part of this endeavor, electric vehicles have emerged as a viable solution, steadily replacing fossil fuel-consuming vehicles and experiencing rapid proliferation. This study delves into the selection quandary surrounding electric trucks employed for transportation purposes. It delineates the criteria that decision-makers ought to consider during the selection process and evaluates market-available alternatives against these criteria. To contend with uncertainty and subjectivity inherent in the decision-making process, circular intuitive fuzzy numbers were employed. The VIKOR method, predicated on these numbers, was the preferred approach for assessing the alternatives. This research addresses a critical need in the realm of sustainable transportation, providing decision-makers with a systematic framework for evaluating electric trucks based on predefined criteria. By leveraging circular intuitive fuzzy numbers and the VIKOR method, the study offers a robust methodology for navigating the complexities inherent in selecting electric trucks, thereby advancing efforts to curtail air pollution and promote environmentally sustainable transportation practices.

 The increasing population and evolving global consumer behaviors have fostered extensive commercial interactions worldwide. However, this expansion has resulted in heightened environmental pollution. Consequently, nations have initiated measures to mitigate air pollution, particularly stemming from transportation and shipping activities. As part of this endeavor, electric vehicles have emerged as a viable solution, steadily replacing fossil fuel-consuming vehicles and experiencing rapid proliferation. This study delves into the selection quandary surrounding electric trucks employed for transportation purposes. It delineates the criteria that decision-makers ought to consider during the selection process and evaluates market-available alternatives against these criteria. To contend with uncertainty and subjectivity inherent in the decision-making process, circular intuitive fuzzy numbers were employed. The VIKOR method, predicated on these numbers, was the preferred approach for assessing the alternatives. This research addresses a critical need in the realm of sustainable transportation, providing decision-makers with a systematic framework for evaluating electric trucks based on predefined criteria. By leveraging circular intuitive fuzzy numbers and the VIKOR method, the study offers a robust methodology for navigating the complexities inherent in selecting electric trucks, thereby advancing efforts to curtail air pollution and promote environmentally sustainable transportation practices.

 The increasing population and evolving global consumer behaviors have fostered extensive commercial interactions worldwide. However, this expansion has resulted in heightened environmental pollution. Consequently, nations have initiated measures to mitigate air pollution, particularly stemming from transportation and shipping activities. As part of this endeavor, electric vehicles have emerged as a viable solution, steadily replacing fossil fuel-consuming vehicles and experiencing rapid proliferation. This study delves into the selection quandary surrounding electric trucks employed for transportation purposes. It delineates the criteria that decision-makers ought to consider during the selection process and evaluates market-available alternatives against these criteria. To contend with uncertainty and subjectivity inherent in the decision-making process, circular intuitive fuzzy numbers were employed. The VIKOR method, predicated on these numbers, was the preferred approach for assessing the alternatives. This research addresses a critical need in the realm of sustainable transportation, providing decision-makers with a systematic framework for evaluating electric trucks based on predefined criteria. By leveraging circular intuitive fuzzy numbers and the VIKOR method, the study offers a robust methodology for navigating the complexities inherent in selecting electric trucks, thereby advancing efforts to curtail air pollution and promote environmentally sustainable transportation practices.

 Artan nüfus ve gelişen küresel tüketici davranışları, dünya çapında kapsamlı ticari etkileşimleri teşvik etti. Ancak bu genişleme çevre kirliliğinin artmasına neden oldu. Sonuç olarak ülkeler, özellikle ulaşım ve nakliye faaliyetlerinden kaynaklanan hava kirliliğini azaltmak için önlemler almaya başladı. Bu çabanın bir parçası olarak, fosil yakıt tüketen araçların yerini alan ve hızla yaygınlaşan elektrikli araçlar, uygulanabilir bir çözüm olarak ortaya çıktı. Bu çalışma, ulaşım amacıyla kullanılan elektrikli kamyonların seçim konusundaki ikilemlerini incelemektedir. Karar vericilerin seçim sürecinde dikkate alması gereken kriterleri tanımlar ve piyasada mevcut alternatifleri bu kriterlere göre değerlendirir. Karar verme sürecinin doğasında olan belirsizlik ve öznellikle mücadele etmek için döngüsel sezgisel bulanık sayılar kullanıldı. Alternatiflerin değerlendirilmesinde bu sayılara dayalı VIKOR yöntemi tercih edilen yaklaşım olmuştur. Bu araştırma, sürdürülebilir ulaşım alanındaki kritik bir ihtiyacı ele alıyor ve karar vericilere elektrikli kamyonların önceden tanımlanmış kriterlere göre değerlendirilmesi için sistematik bir çerçeve sağlıyor. Döngüsel sezgisel bulanık sayılardan ve VIKOR yönteminden yararlanan bu çalışma, elektrikli kamyon seçiminin doğasında bulunan karmaşıklıkların üstesinden gelmek için sağlam bir metodoloji sunuyor ve böylece hava kirliliğini azaltma ve çevresel açıdan sürdürülebilir ulaşım uygulamalarını teşvik etme çabalarını ilerletiyor.

Makale detayları

APPLICATION OF VIKOR METHOD BASED ON CIRCULAR INTUITIONISTIC FUZZY SETS IN SELECTING AN ELECTRIFIED TRUCK

Yazarlar:

Elif Çaloğlu Büyükselçuk

Yayıncı:

Istanbul Ticaret University

Ana Başlıklar:

Çok Ölçütlü Karar Verme

Dergi:

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.402-427

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335707

pISSN:

1305-7820

VIKOR

circular intuitionistic fuzzy set

decision making

electric truck

environmental pollutionVIKOR

dairesel sezgisel bulanık küme

karar verme

elektrikli kamyon

çevre kirliliği

Sayı

Makale detayları

Yazarlar: Elif Çaloğlu Büyükselçuk

Yayıncı: Istanbul Ticaret University

Ana Başlıklar: Çok Ölçütlü Karar Verme

Dergi: İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.402-427

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001335707

pISSN: 1305-7820

Sayı

Yazarlar:

Elif Çaloğlu Büyükselçuk

Yayıncı:

Istanbul Ticaret University

Ana Başlıklar:

Çok Ölçütlü Karar Verme

Dergi:

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.402-427

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001335707

pISSN:

1305-7820