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Aralık Değerlikli Küresel Bulanık Metodoloji ve Elektrikli Araba Seçimi Uygulaması

Yıl 2021, Cilt: 9 Sayı: 5, 1970 - 1983, 31.10.2021
https://doi.org/10.29130/dubited.885954

Öz

Hayal etmek, düşünmek, üretmek, ürettiğini geliştirmek, değiştirmek insanı insan yapan belli başlı özelliklerdendir. İnsan, var oluş nedenini sorgular, hayatı sorgular, yaşam kalitesini özetle nedeni, nasılı sorgular ve tüm bu sorgulamalar bilgi üretimine, üretilen bilginin akışına, kimi zaman da ürüne dönüşür. Var edilen ürün, bir amaca hizmet eder. Üretmenin tarihin hiçbir anında olmadığı kadar baş döndürücü bir hızla gerçekleştiği günümüz dünyasında gelişime ayak uydurabilmek, teknolojiye sahip olabilmeye bağlıdır. Bu sahiplik dinamik bir yetenektir ve kalıcı olması için sürekli geliştirilmelidir. Teknolojik gelişmelerin günümüz dünyasına armağanı olan elektrikli araçlar; hayal gücü, ihtiyaç tespiti ve sürdürülebilir inovasyonların bileşkesidir. Bu çalışmada elektrikli araç seçim problemi ele alınmış, altı kriter ve on alternatif içeren bir vaka çalışması sunulmuştur. Önerilen karar modeli, AHP ve ELECTRE yöntemlerini aralık değerlikli küresel bulanık kümelerle bütünleştirmiştir. Makalenin özgünlüğü, IVSF-AHP-ELECTRE önerisinin elektrikli araç performanslarının değerlendirilmesi ve aralarında seçim yapılmasında ilk defa uygulanmasından kaynaklanmaktadır. Çalışmada batarya kapasitesi, otonom sürüş, şarj ağı, fiyat, verimlilik ve performans kriterlerinin önem dereceleri belirlenmiş; bu kriterlere göre alternatif elektrikli araçlar arasında derecelendirme/sıralama yapılmıştır.

Kaynakça

  • [1] K. Gyimesi and R. Viswanathan, ‘‘The shift to electric vehicles: Putting consumers in the driver’s seat,’’ IBM, Somers, NY 10589, USA, IBM Global Business Services Executive Rep, 2011.
  • [2] L. A. Zadeh ‘‘Fuzzy logic and approximate reasoning,’’ Synthese, vol. 30 no. 4, pp. 407-428, 1975.
  • [3] T. L. Saaty, ‘‘Axiomatic foundation of the analytic hierarchy process,’’ Management Science, vol. 32, no. 7, pp. 841-855, 1986.
  • [4] A.Y. Korkusuz., U. H. İnan, Y. Özdemir and H. Başlıgil, ‘‘Occupational health and safety performance measurement in healthcare sector using integrated multi criteria decision making methods,’’ Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 35, no. 1, pp. 81-96, 2020.
  • [5] N. Yayla and M. Karacasu, ‘‘A decision support model to incorporate public and expert opinions for assessing the privatization of public bus transit system: application of ELECTRE for the Bus System,’’ Scientific Research and Essays, Eskisehir, Turkey, 2011, vol. 6, no. 21, pp. 4657-4664.
  • [6] İ. Ertuğrul and N. Karakaşoğlu, ‘‘Choosing a computer for a business with ELECTRE and fuzzy AHP methods,’’ Dokuz Eylül University Faculty of Economics and Administrative Sciences Journal, vol. 25, no. 2, pp. 23-41, 2010.
  • [7] H. Yürekli, ‘‘The use of electre method in the selection of attack helicopters,’’ PhD Dissertation, Department of Business Administration, Institute of Social Sciences, T.C. Istanbul University, İstanbul, Turkey, 2008.
  • [8] M. Yücel ve A. Ulutaş, ‘‘Çok Kriterli Karar Yöntemlerinden Electre Yöntemiyle Malatya’da Bir Kargo Firması İçin Yer Seçimi,’’ Sosyal Ekonomik Araştırmalar Dergisi, c. 9, no. 17, ss. 327-344, 2009.
  • [9] B.D. Rouyendegh and S. Erol, ‘‘Selecting the best project using the fuzzy ELECTRE method,’’ Hindawi Publishing Corporation Mathematical Problems in Engineering, vol. 2012, pp. 1-13, 2012.
  • [10] S. Hartati, R. Wardoyo, A. Harjoko, J.I. Palembag and O. Ilir, ‘‘ELECTRE methods in solving group decision support system bioinformatics on gene mutation detection simulation,’’International Journal of Computer Science & Information Technology (IJCSIT), vol. 3, no. 1, pp. 40-52, 2011.
  • [11] L. Fei, J. Xia, Y. Feng and L. Liu, ‘‘An ELECTRE-based multiple criteria decision-making method for supplier selection using dempster-shafer theory,’’ IEEE Access, vol. 7, pp. 84701-84716, 2019.
  • [12] Yu Xiaohan, Z. Suojuan, L. Xianglin and Q. Xiuli, ‘‘ELECTRE methods in prioritized MCDM environment,’’ Information Sciences, vol. 424, pp. 301-316, 2018.
  • [13] İ. Otay and S. Atik, ‘‘Multi-criteria oil station location evaluation using spherical AHP&WASPAS: A real-life case study,’’ Intelligent and Fuzzy Techniques: Smart and Innovative Solutions Publisher, 2021.
  • [14] F. Kutlu Gündoğdu, and C. Kahraman, ‘‘A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets,’’ Engineering Applications of Artificial Intelligence, vol. 85, pp. 307–323, 2019.
  • [15] A. Shahzaib, et al. ‘‘Spherical fuzzy sets and its representation of spherical fuzzy T-norms and T-conorms,’’ Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6089 – 6102, 2019.
  • [16] F. Kutlu Gündoğdu, C. Kahraman and A. Karaşan, ‘‘Spherical fuzzy VIKOR method and its application to waste management,’’ In: Kahraman C, Cebi., Cevik Onar S, Oztaysi B, Tolga A, Sari I (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making INFUS 2019. Advances in Intelligent Systems and Computing, Cham, 2020.
  • [17] F. Kutlu Gündoğdu and C. Kahraman, ‘‘A novel vikor method using spherical fuzzy sets and its application to warehouse site selection,’’ Journal of Intelligent & Fuzzy Systems, vol.37, no. 1, pp. 1197-1211, 2019.
  • [18] F. Kutlu Gündoğdu and C. Kahraman, ‘‘A novel spherical fuzzy analytic hierarchy process and its renewable energy application,’’ Soft Computing, vol. 24, pp. 4607–4621, 2020.
  • [19] S. Tepe, ‘‘Coding program selection using spherical fuzzy analytical hierarchy and pythagorean fuzzy analytical hierarchy processes,’’ Journal of Multiple-Valued Logic and Soft Computing, pp.1-22, 2021.
  • [20] Y. Donyatalab, S.A. Seyfı-Shıshavan, E. Farrokhızadeh, F. Kutlu Gündoğdu and C. Kahraman, ‘‘Spherical fuzzy linear assignment method for multiple criteria group decision-making problems,’’ Informatica, vol. 31, no. 4, pp. 707-722, 2020.
  • [21] S. Aydın and F. Kutlu Gündoğdu, Interval-Valued Spherical Fuzzy MULTIMOORA Method and Its Application to Industry 4.0. In: C. Kahraman, F. Kutlu Gündoğdu, ‘‘Decision Making with Spherical Fuzzy Sets,’’ Studies in Fuzziness and Soft Computing, vol. 392, 2021.

The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection

Yıl 2021, Cilt: 9 Sayı: 5, 1970 - 1983, 31.10.2021
https://doi.org/10.29130/dubited.885954

Öz

Imagining, thinking, producing, developing and changing what you produce are among the main traits that make human beings human. Human beings question their raison d’être, their life, the quality of their lives; in other words, they ask why and how. All these inquiries result in the production of information, a flow of the information produced, and sometimes a product. Today, in a world where production takes place at an unprecedented pace, one needs to possess the technology to keep up with developments. This is a dynamic capability and must be continuously developed to make it endure. Electric vehicles, a gift of technological developments of the world of today, are a combination of imagination, a needs assessment, and sustainable innovations. This study addressed the problem of electric car selection and included a case study involving six criteria and ten alternatives. The proposed decision model has integrated AHP and ELECTRE methods with interval-valued spherical fuzzy sets. The novelty of this study stems from evaluating the performance of electric cars using IVSF-AHP-ELECTRE and selecting accordingly for the first time. In this study, the level of importance of battery capacity, autonomous driving, charging network, price, efficiency and performance criteria were determined. A ranking was then made for the electric car alternatives based on these criteria.

Kaynakça

  • [1] K. Gyimesi and R. Viswanathan, ‘‘The shift to electric vehicles: Putting consumers in the driver’s seat,’’ IBM, Somers, NY 10589, USA, IBM Global Business Services Executive Rep, 2011.
  • [2] L. A. Zadeh ‘‘Fuzzy logic and approximate reasoning,’’ Synthese, vol. 30 no. 4, pp. 407-428, 1975.
  • [3] T. L. Saaty, ‘‘Axiomatic foundation of the analytic hierarchy process,’’ Management Science, vol. 32, no. 7, pp. 841-855, 1986.
  • [4] A.Y. Korkusuz., U. H. İnan, Y. Özdemir and H. Başlıgil, ‘‘Occupational health and safety performance measurement in healthcare sector using integrated multi criteria decision making methods,’’ Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 35, no. 1, pp. 81-96, 2020.
  • [5] N. Yayla and M. Karacasu, ‘‘A decision support model to incorporate public and expert opinions for assessing the privatization of public bus transit system: application of ELECTRE for the Bus System,’’ Scientific Research and Essays, Eskisehir, Turkey, 2011, vol. 6, no. 21, pp. 4657-4664.
  • [6] İ. Ertuğrul and N. Karakaşoğlu, ‘‘Choosing a computer for a business with ELECTRE and fuzzy AHP methods,’’ Dokuz Eylül University Faculty of Economics and Administrative Sciences Journal, vol. 25, no. 2, pp. 23-41, 2010.
  • [7] H. Yürekli, ‘‘The use of electre method in the selection of attack helicopters,’’ PhD Dissertation, Department of Business Administration, Institute of Social Sciences, T.C. Istanbul University, İstanbul, Turkey, 2008.
  • [8] M. Yücel ve A. Ulutaş, ‘‘Çok Kriterli Karar Yöntemlerinden Electre Yöntemiyle Malatya’da Bir Kargo Firması İçin Yer Seçimi,’’ Sosyal Ekonomik Araştırmalar Dergisi, c. 9, no. 17, ss. 327-344, 2009.
  • [9] B.D. Rouyendegh and S. Erol, ‘‘Selecting the best project using the fuzzy ELECTRE method,’’ Hindawi Publishing Corporation Mathematical Problems in Engineering, vol. 2012, pp. 1-13, 2012.
  • [10] S. Hartati, R. Wardoyo, A. Harjoko, J.I. Palembag and O. Ilir, ‘‘ELECTRE methods in solving group decision support system bioinformatics on gene mutation detection simulation,’’International Journal of Computer Science & Information Technology (IJCSIT), vol. 3, no. 1, pp. 40-52, 2011.
  • [11] L. Fei, J. Xia, Y. Feng and L. Liu, ‘‘An ELECTRE-based multiple criteria decision-making method for supplier selection using dempster-shafer theory,’’ IEEE Access, vol. 7, pp. 84701-84716, 2019.
  • [12] Yu Xiaohan, Z. Suojuan, L. Xianglin and Q. Xiuli, ‘‘ELECTRE methods in prioritized MCDM environment,’’ Information Sciences, vol. 424, pp. 301-316, 2018.
  • [13] İ. Otay and S. Atik, ‘‘Multi-criteria oil station location evaluation using spherical AHP&WASPAS: A real-life case study,’’ Intelligent and Fuzzy Techniques: Smart and Innovative Solutions Publisher, 2021.
  • [14] F. Kutlu Gündoğdu, and C. Kahraman, ‘‘A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets,’’ Engineering Applications of Artificial Intelligence, vol. 85, pp. 307–323, 2019.
  • [15] A. Shahzaib, et al. ‘‘Spherical fuzzy sets and its representation of spherical fuzzy T-norms and T-conorms,’’ Journal of Intelligent & Fuzzy Systems, vol. 36, no. 6, pp. 6089 – 6102, 2019.
  • [16] F. Kutlu Gündoğdu, C. Kahraman and A. Karaşan, ‘‘Spherical fuzzy VIKOR method and its application to waste management,’’ In: Kahraman C, Cebi., Cevik Onar S, Oztaysi B, Tolga A, Sari I (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making INFUS 2019. Advances in Intelligent Systems and Computing, Cham, 2020.
  • [17] F. Kutlu Gündoğdu and C. Kahraman, ‘‘A novel vikor method using spherical fuzzy sets and its application to warehouse site selection,’’ Journal of Intelligent & Fuzzy Systems, vol.37, no. 1, pp. 1197-1211, 2019.
  • [18] F. Kutlu Gündoğdu and C. Kahraman, ‘‘A novel spherical fuzzy analytic hierarchy process and its renewable energy application,’’ Soft Computing, vol. 24, pp. 4607–4621, 2020.
  • [19] S. Tepe, ‘‘Coding program selection using spherical fuzzy analytical hierarchy and pythagorean fuzzy analytical hierarchy processes,’’ Journal of Multiple-Valued Logic and Soft Computing, pp.1-22, 2021.
  • [20] Y. Donyatalab, S.A. Seyfı-Shıshavan, E. Farrokhızadeh, F. Kutlu Gündoğdu and C. Kahraman, ‘‘Spherical fuzzy linear assignment method for multiple criteria group decision-making problems,’’ Informatica, vol. 31, no. 4, pp. 707-722, 2020.
  • [21] S. Aydın and F. Kutlu Gündoğdu, Interval-Valued Spherical Fuzzy MULTIMOORA Method and Its Application to Industry 4.0. In: C. Kahraman, F. Kutlu Gündoğdu, ‘‘Decision Making with Spherical Fuzzy Sets,’’ Studies in Fuzziness and Soft Computing, vol. 392, 2021.
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Serap Tepe 0000-0002-9723-6049

Yayımlanma Tarihi 31 Ekim 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 9 Sayı: 5

Kaynak Göster

APA Tepe, S. (2021). The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection. Duzce University Journal of Science and Technology, 9(5), 1970-1983. https://doi.org/10.29130/dubited.885954
AMA Tepe S. The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection. DÜBİTED. Ekim 2021;9(5):1970-1983. doi:10.29130/dubited.885954
Chicago Tepe, Serap. “The Interval-Valued Spherical Fuzzy Based Methodology and Its Application to Electric Car Selection”. Duzce University Journal of Science and Technology 9, sy. 5 (Ekim 2021): 1970-83. https://doi.org/10.29130/dubited.885954.
EndNote Tepe S (01 Ekim 2021) The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection. Duzce University Journal of Science and Technology 9 5 1970–1983.
IEEE S. Tepe, “The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection”, DÜBİTED, c. 9, sy. 5, ss. 1970–1983, 2021, doi: 10.29130/dubited.885954.
ISNAD Tepe, Serap. “The Interval-Valued Spherical Fuzzy Based Methodology and Its Application to Electric Car Selection”. Duzce University Journal of Science and Technology 9/5 (Ekim 2021), 1970-1983. https://doi.org/10.29130/dubited.885954.
JAMA Tepe S. The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection. DÜBİTED. 2021;9:1970–1983.
MLA Tepe, Serap. “The Interval-Valued Spherical Fuzzy Based Methodology and Its Application to Electric Car Selection”. Duzce University Journal of Science and Technology, c. 9, sy. 5, 2021, ss. 1970-83, doi:10.29130/dubited.885954.
Vancouver Tepe S. The Interval-Valued Spherical Fuzzy Based Methodology and its Application to Electric Car Selection. DÜBİTED. 2021;9(5):1970-83.