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Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS

Yıl 2022, , 65 - 85, 29.12.2022
https://doi.org/10.54821/uiecd.1183443

Öz

In recent years, multi-criteria decision-making (MCDM) techniques have expanded the corpus of existing techniques and demonstrated their effectiveness with applications in various fields. In this study, bibliometric analysis was conducted to evaluate the research trend on new ranking-based MCDM methods in the last decade, namely WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS. The various keyword combinations are searched on the Web of Science and the Scopus databases. Bibliometric analysis is carried out in R with the Biblioshiny app for the bibliometrix package. In total, 1,215 related publications are analyzed. The sources, authors, countries, and publications are examined in terms of production and total citation, and the most frequent keywords with trend topics are obtained. The summaries of the findings are as follows: The number of publications has increased over the years for all the methods. The most cited studies belong to the authors of the methods and fuzzy implementations related to the methods. For the author's impact and productivity, Zavadskas and Pamučar stand out. Turkey and India rank in the top five in terms of the number of publications produced on all methods. China is the most cited country for the three methods. According to keyword analysis, different research topics such as sustainability, renewable energy, optimization, supplier selection, hydrogen production and transport are investigated through these methods and other techniques are utilized such as SWARA, AHP, TOPSIS, Best-Worst, DEMATEL, MAIRCA, and CRITIC.

Kaynakça

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Son On Yıldaki ÇKKV Yöntemlerinin Bibliyometrik Analizi: WASPAS, MABAC, EDAS, CODAS, COCOSO ve MARCOS

Yıl 2022, , 65 - 85, 29.12.2022
https://doi.org/10.54821/uiecd.1183443

Öz

Son yıllarda, çok kriterli karar verme (ÇKKV) teknikleri mevcut tekniklerin korpusunu genişletmiş ve çeşitli alanlardaki uygulamaları ile etkinliklerini göstermiştir. Bu çalışmada, son on yılda WASPAS, MABAC, EDAS, CODAS, COCOSO ve MARCOS olmak üzere yeni sıralama tabanlı ÇKKV yöntemlerine ilişkin araştırma eğilimini değerlendirmek için bibliyometrik analiz yapılmıştır. Çeşitli anahtar kelime kombinasyonları, Web of Science ve Scopus veritabanlarında aranmıştır. Bibliyometrik analiz, bibliometrix paketine ait Biblioshiny uygulamasıyla R programında gerçekleştirilmiştir. Toplamda 1.215 ilgili yayın analiz edilmiştir. Kaynaklar, yazarlar, ülkeler ve yayınlar üretim ve toplam atıf açısından incelenmiş ve trend konuları ile en sık kullanılan anahtar kelimeler elde edilmiştir. Bulguların özetleri şu şekildedir: Tüm yöntemler için yayın sayısı yıllar içinde artmıştır. En çok atıf alan çalışmalar, yöntemlerin ve yöntemlerle ilgili bulanık uygulamaların yazarlarına aittir. Yazar etkisi ve üretkenliği incelendiğinde Zavadskas ve Pamučar öne çıkmaktadır. Türkiye ve Hindistan, tüm yöntemlerde üretilen yayın sayısı bakımından ilk beşte yer almaktadır. Çin, üç yöntem için en çok alıntı yapılan ülkedir. Anahtar kelime analizine göre bu yöntemlerle sürdürülebilirlik, yenilenebilir enerji, optimizasyon, tedarikçi seçimi, hidrojen üretimi ve nakliye gibi farklı araştırma konuları araştırılmakta ve SWARA, AHP, TOPSIS, Best-Worst, DEMATEL, MAIRCA ve CRITIC gibi diğer yöntemler de bu çalışmalarda kullanılmaktadır.

Kaynakça

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  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451. https://doi.org/10.15388/Informatica.2015.57
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016a). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation & Economic Cybernetics Studies & Research, 50(3), 25–44.
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016b). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229. https://doi.org/10.1016/j.jclepro.2016.07.031
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  • Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Hooshmand, R., & Antuchevičienė, J. (2017). Fuzzy extension of the CODAS method for multi-criteria market segment evaluation. Journal of Business Economics and Management, 18(1), 1– 19. https://doi.org/10.3846/16111699.2016.1278559
  • Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2018). Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making. Informatica, 29(2), 265–280. https://doi.org/10.15388/Informatica.2018.167
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  • Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing, 52(1–2)., 439–468. https://doi.org/10.1108/EJM-11-2017-0853
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  • Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37–48. https://doi.org/10.1016/j.omega.2016.12.004
  • Minhas, M. R., & Potdar, V. (2020). Decision support systems in construction: A bibliometric analysis. Buildings, 10(6), 108. https://doi.org/10.3390/buildings10060108
  • Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1).
  • Morkūnaitė, Ž., Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage buildings. Journal of Civil Engineering and Management, 25(2), 76–99. https://doi.org/10.3846/jcem.2019.8315
  • Mukhametzyanov, I., & Pamučar, D. (2018). A sensitivity analysis in MCDM problems: A statistical approach. Decision making: Applications in Management and Engineering, 1(2), 51–80. https://doi.org/10.31181/dmame1802050m
  • Nobanee, H., Al Hamadi, F.Y., Abdulaziz, F.A., Abukarsh, L.S., Alqahtani, A.F., AlSubaey, S.K., Alqahtani, S.M., Almansoori, H.A. (2021). A bibliometric analysis of sustainability and risk management. Sustainability, 13(6), 3277. https://doi.org/10.3390/su13063277
  • Ogrodnik, K. (2019). Multi-criteria analysis of design solutions in architecture and engineering: Review of applications and a case study. Buildings, 9(12), 244. https://doi.org/10.3390/buildings9120244
  • Pamučar, D., Vasin, L., & Lukovac, L. (2014, October). Selection of railway level crossings for investing in security equipment using hybrid DEMATEL-MARICA model. In XVI international scientific-expert conference on railway, railcon (pp. 89-92).
  • Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016–3028. https://doi.org/10.1016/j.eswa.2014.11.057
  • Pamučar, D., Petrović, I., & Ćirović, G. (2018a). Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers. Expert systems with applications, 91, 89–106. https://doi.org/10.1016/j.eswa.2017.08.042
  • Pamučar, D., Stević, Ž., & Sremac, S. (2018b). A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (fucom). Symmetry, 10(9), 393. https://doi.org/10.3390/sym10090393
  • Peng, X., & Yang, Y. (2016). Pythagorean fuzzy Choquet integral based MABAC method for multiple attribute group decision making. International Journal of Intelligent Systems, 31(10), 989-1020. https://doi.org/10.1002/int.21814
  • Peng, X., Zhang, X., & Luo, Z. (2020). Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation. Artificial Intelligence Review, 53(5), 3813–3847. https://doi.org/10.1007/s10462-019-09780-x
  • Rey-Martí, A., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2016). A bibliometric analysis of social entrepreneurship. Journal of Business Research, 69(5), 1651–1655. https://doi.org/10.1016/j.jbusres.2015.10.033
  • Sotoudeh-Anvari, A. (2022). The applications of MCDM methods in COVID-19 pandemic: A state of the art review. Applied Soft Computing, 109238. https://doi.org/10.1016/j.asoc.2022.109238
  • Stanković, M., Stević, Ž., Das, D. K., Subotić, M., & Pamučar, D. (2020). A new fuzzy MARCOS method for road traffic risk analysis. Mathematics, 8(3), 457. https://doi.org/10.3390/math8030457
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Toplam 85 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yöneylem
Bölüm Araştırma Makaleleri
Yazarlar

Büşra Ayan 0000-0002-5212-2144

Seda Abacıoğlu 0000-0002-3150-2770

Yayımlanma Tarihi 29 Aralık 2022
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Ayan, B., & Abacıoğlu, S. (2022). Bibliometric Analysis of the MCDM Methods in the Last Decade: WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS. International Journal of Business and Economic Studies, 4(2), 65-85. https://doi.org/10.54821/uiecd.1183443

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