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PRIORITIZING SUSTAINABILITY STRATEGIES IN RAIL TRANSPORT IN Q-ROF FUZZY ENVIRONMENT

Year 2025, Issue: 2, 194 - 234, 29.06.2025

Ömer Faruk Görçün , Nükhet Işıkoğlu , Özhan Görçün

Abstract

Determining and prioritizing sustainability strategies in railway transportation is a multi-criteria decision-making problem with environmental, economic, and social dimensions. Uncertain or inadequate execution of this process: Waste of resources can lead to significant issues such as increased greenhouse gas emissions, declining competitiveness, and stakeholder dissatisfaction. In addition, failure to comply with sustainability goals is a serious obstacle to long-term development and transformation in the sector. Strategic decisions should be handled with scientific and systematic approaches in this context. In this study, a hybrid model consisting of the integration of SPC (Symmetry Point of Criterion) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods based on q-rung orthopair fuzzy sets is proposed to determine and prioritize sustainability strategies in rail transportation. According to the findings, the most critical criteria are contribution to employment, public-private partnership potential, and community and user acceptance. In addition to increasing railway competitiveness in international trade, investing in projects that increase speed, and capacity has been the prominent strategy. These findings reveal that the social dimension is decisive in sustainable railway strategies. In particular, the prominence of criteria such as contribution to employment, public-private sector cooperation, and public acceptance shows that technical and social impact dimensions should shape strategic investments.

Keywords

Railway industry Sustainability SPC MABAC q-rung Orthopair Fuzzy Set

References

  • Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy sets and Systems, 20(1), 87-96. https://doi.org/https://doi.org/10.1016/S0165-0114(86)80034-3
  • Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information (Switzerland) (C.14, Sayı 5). https://doi.org/10.3390/info14050285
  • S., Božanić, D., Pamučar, D., & Marinković, D. (2023). A SPHERICAL FUZZY BASED DECISION MAKING FRAMEWORK WITH EINSTEIN AGGREGATION FOR COMPARING PREPAREDNESS OF SMEs IN QUALITY 4.0. Facta Universitatis, Series: Mechanical Engineering, 21(3), 453. https://doi.org/10.22190/FUME230831037B
  • Biswas, S., Pamucar, D., Dey, P., Chatterjee, S., & Majumder, S. (2024). A q-ROF Based Intelligent Framework for Exploring the Interface Among the Variables of Culture Shock and Adoption Toward Organizational Effectiveness (ss. 255-293). https://doi.org/10.1007/978-981-99-5354-7_14
  • Biswas, S., Sanyal, A., Božanić, D., Kar, S., Milić, A., & Puška, A. (2023). A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers. Entropy, 25(6). https://doi.org/10.3390/e25060905
  • Biswas, S., Sanyal, A., Božanić, D., Puška, A., & Marinković, D. (2023). Critical Success Factors for 5G Technology Adaptation in Supply Chains. Sustainability, 15(6), 5539. https://doi.org/10.3390/su15065539
  • Bouraima, M. B., Qiu, Y., Stević, Ž., & Simić, V. (2023). Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. Socio-Economic Planning Sciences, 86. https://doi.org/10.1016/j.seps.2022.101475
  • Deveci, M., Gokasar, I., Pamucar, D., Biswas, S., & Simic, V. (2022). An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation. q-Rung Orthopair Fuzzy Sets (ss.303-332). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-1449-2_12
  • Deveci, M., Gokasar, I., Pamucar, D., Coffman, D. M., & Papadonikolaki, E. (2022). Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach. Journal of Cleaner Production, 347. https://doi.org/10.1016/j.jclepro.2022.131239
  • Deveci, M., Pamucar, D., Gokasar, I., Koppen, M., & Gupta, B. B. (2022). Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3186294
  • Du, W. S. (2021). A further investigation on q-rung orthopair fuzzy Einstein aggregation operators. Journal of Intelligent and Fuzzy Systems, 41(6). https://doi.org/10.3233/JIFS-210548
  • Feng, F., Zheng, Y., Sun, B., & Akram, M. (2022). Novel score functions of generalized orthopair fuzzy membership grades with application to multiple attribute decision making. Granular Computing, 7(1). https://doi.org/10.1007/s41066-021-00253-7
  • Gandhi, N., & Kant, R. (2023). Evaluation of sustainability performance of the rail freight transportation: An index-based analysis. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2023.01.193
  • Garg, C. P., & Kashav, V. (2020). Assessment of Sustainable Initiatives in the Containerized Freight Railways of India using Fuzzy AHP Framework. Transportation Research Procedia, 48. https://doi.org/10.1016/j.trpro.2020.08.057
  • Gligorić, Z., Gligorić, M., Miljanović, I., Lutovac, S., & Milutinović, A. (2023). Assessing Criteria Weights by the Symmetry Point of Criterion (Novel SPC Method)–Application in the Efficiency Evaluation of the Mineral Deposit Multi-Criteria Partitioning Algorithm. CMES - Computer Modeling in Engineering and Sciences, 136(1). https://doi.org/10.32604/cmes.2023.025021
  • Görçün, Ö. Faruk., Chatterjee, Prasenjit., Stević, Željko., & Küçükönder, Hande. (2024). An integrated model for road freight transport firm selection in third-partylogistics using T-spherical Fuzzy sets. Transportation Research Part E: Logistics and Transportation Review, 186, 103542. https://doi.org/10.1016/j.tre.2024.103542
  • Güneri, B., & Deveci, M. (2023). Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach. Expert Systems with Applications, 222. https://doi.org/10.1016/j.eswa.2023.119846
  • Hezam, I. M., Vedala, N. R. D., Kumar, B. R., Mishra, A. R., & Cavallaro, F. (2023). Assessment of Biofuel Industry Sustainability Factors Based on the Intuitionistic Fuzzy Symmetry Point of Criterion and Rank-Sum-Based MAIRCA Method. Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086749
  • Krishankumar, R., & Ecer, F. (2023). Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights. Applied Soft Computing, 132, 109870. https://doi.org/10.1016/j.asoc.2022.109870
  • Krmac, E., & Djordjević, B. (2018). An Evaluation of Indicators of Railway Intelligent Transportation Systems using the Group Analytic Hierarchy Process. Electronics Science Technology and Application, 4(2). https://doi.org/10.18686/esta.v4i2.57
  • Kumar, N., & Kumari, N. (2012). Conceptual architectural design of Indian railway intelligent transportation systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7266 LNCS. https://doi.org/10.1007/978-3-642-29667-3_13
  • Lance, G. N., & Williams, W. T. (1966). Computer Programs for Hierarchical Polythetic Classification (“Similarity Analyses”). The Computer Journal, 9(1). https://doi.org/10.1093/comjnl/9.1.60
  • Liu, P., & Wang, P. (2019). Multiple-attribute decision-making based on archimedean bonferroni operators of q-rung orthopair fuzzy numbers. IEEE Transactions on Fuzzy Systems, 27(5). https://doi.org/10.1109/TFUZZ.2018.2826452
  • Liu, Z., & Zhang, Y. (2022). Comprehensive Sustainable Assessment and Prioritization of Different Railway Projects Based on a Hybrid MCDM Model. Sustainability (Switzerland), 14(19). https://doi.org/10.3390/su141912065
  • Mansourianfar, M. H., & Haghshenas, H. (2018). Micro-scale sustainability assessment of infrastructure projects on urban transportation systems: Case study of Azadi district, Isfahan, Iran. Cities, 72. https://doi.org/10.1016/j.cities.2017.08.012
  • Mishra, A. R., & Rani, P. (2021). A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03549-3
  • Noruzi, M., Naderan, A., Zakeri, J. A., & Rahimov, K. (2023). A Novel Decision-Making Framework to Evaluate Rail Transport Development Projects Considering Sustainability under Uncertainty. Sustainability (Switzerland), 15(17). https://doi.org/10.3390/su151713086
  • Peng, X., & Dai, J. (2018). Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Computing and Applications, 29(10). https://doi.org/10.1007/s00521-016-2607-y
  • Qahtan, S., Alsattar, H. A., Zaidan, A. A., Deveci, M., Pamucar, D., & Delen, D. (2023). Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology. Expert Systems with Applications, 223. https://doi.org/10.1016/j.eswa.2023.119958
  • Rani, P., Mishra, A. R., Pamucar, D., Ali, J., & Hezam, I. M. (2023). Interval-valued intuitionistic fuzzy symmetric point criterion-based MULTIMOORA method for sustainable recycling partner selection in SMEs. Soft Computing. https://doi.org/10.1007/s00500-023-08189-7
  • Rao, S. H. (2021). Transportation synthetic sustainability indices: A case of Taiwan intercity railway transport. Ecological Indicators, 127. https://doi.org/10.1016/j.ecolind.2021.107753
  • Saha, A., Majumder, P., Dutta, D., & Debnath, B. K. (2021). Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators. Journal of Ambient Intelligence and Humanized Computing, 12(7). https://doi.org/10.1007/s12652-020-02551-5
  • Simionescu, V., & Silvius, G. (2016). Assessing Sustainability of Railway Modernization Projects; A Case Study from Romania. Procedia Computer Science, 100. https://doi.org/10.1016/j.procs.2016.09.182
  • Stoilova, S., Munier, N., Kendra, M., & Skrúcaný, T. (2020). Multi-criteria evaluation of railway network performance in countries of the TEN-T orient-east med corridor. Sustainability (Switzerland), 12(4). https://doi.org/10.3390/su12041482
  • Wang, J., Sekei, V. S., Ganiyu, S. A., & Makwetta, J. J. (2021). Research on the sustainability of the standard gauge railway construction project in Tanzania. Sustainability (Switzerland), 13(9). https://doi.org/10.3390/su13095271
  • Wang, P., Wang, J., Wei, G., & Wei, C. (2019). Similarity measures of q-rung orthopair fuzzy sets based on cosine function and their applications. Mathematics, 7(4). https://doi.org/10.3390/math7040340
  • Wang, R., & Li, Y. (2018). A novel approach for green supplier selection under aq-rung orthopair fuzzy environment. Symmetry, 10(12). https://doi.org/10.3390/sym10120687
  • Weber, S. (1983). A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms. Fuzzy Sets and Systems, 11(1-3). https://doi.org/10.1016/S0165-0114(83)80073-6
  • Wei, G., Gao, H., & Wei, Y. (2018). Some q-rung orthopair fuzzy Heronian mean operators in multiple attribute decision making. International Journal of Intelligent Systems, 33(7). https://doi.org/10.1002/int.21985
  • Yager, R. R. (2013). Pythagorean fuzzy subsets. Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375
  • Yager, R. R. (2017). Generalized Orthopair fuzzy sets. IEEE Transactions on Fuzzy Systems, 25(5), 1222-1230. https://doi.org/10.1109/TFUZZ.2016.2604005
  • Yin, S., Wang, Y., & Shafiee, S. (2023). Ranking products through online reviews considering the mass assignment of features based on BERT and q-rung orthopair fuzzy set theory. Expert Systems with Applications, 213. https://doi.org/10.1016/j.eswa.2022.119142
  • Yüksel, Ç., & Uncu, N. (2024). Evaluating the Performance of Railway Transportation Companies Using Multi-Criteria Decision-Making Methods. Demiryolu Mühendisliği, 20, 11-24. https://doi.org/10.47072/demiryolu.1407420

DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ

Year 2025, Issue: 2, 194 - 234, 29.06.2025

Ömer Faruk Görçün , Nükhet Işıkoğlu , Özhan Görçün

Abstract

Demiryolu taşımacılığında sürdürülebilirlik stratejilerinin belirlenmesi ve önceliklendirilmesi, çevresel, ekonomik ve sosyal boyutlarıyla çok kriterli bir karar verme problemi olarak öne çıkmaktadır. Bu sürecin belirsiz veya yetersiz yürütülmesi; kaynak israfı, artan sera gazı emisyonları, düşen rekabet gücü ve paydaş memnuniyetsizliği gibi önemli sorunlara yol açabilmektedir. Ayrıca, sürdürülebilirlik hedeflerine uyum sağlanamaması sektörde uzun vadeli gelişim ve dönüşümün önünde ciddi bir engel oluşturmaktadır. Bu bağlamda, stratejik kararların bilimsel ve sistematik yaklaşımlarla ele alınması gereklidir. Bu çalışmada, demiryolu taşımacılığında sürdürülebilirlik stratejilerini belirlemek ve önceliklendirmek amacıyla q-rung orthopair fuzzy setlere dayalı SPC (Symmetry Point of Criterion) ve MABAC (Multi-Attributive Border Approximation Area Comparison) yöntemlerinin entegrasyonundan oluşan hibrit bir model önerilmektedir. Bulgulara göre en kritik kriterler sırasıyla istihdama katkı, kamu-özel sektör iş birliği potansiyeli ve toplum ile kullanıcı kabulüdür. Ayrıca, uluslararası ticarette demiryolu rekabetçiliğini artırmak amacıyla hız ve kapasite artırıcı projelere yatırım yapılması gerektiği öne çıkan strateji olmuştur. Elde edilen bu bulgular, sürdürülebilir demiryolu stratejilerinde sosyal boyutun belirleyici bir rol oynadığını ortaya koymaktadır. Özellikle istihdama katkı, kamu-özel sektör iş birliği ve toplumun kabulü gibi kriterlerin öne çıkması, stratejik yatırımların sadece teknik değil, aynı zamanda sosyal etki boyutuyla da şekillendirilmesi gerektiğini göstermektedir.

Keywords

Sürdürülebilirlik SPC MABAC Demiryolu Endüstrisi Sürdürülebilirlik SPC MABAC q-rungOrthopair Bulanık Kümeler

References

  • Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy sets and Systems, 20(1), 87-96. https://doi.org/https://doi.org/10.1016/S0165-0114(86)80034-3
  • Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information (Switzerland) (C.14, Sayı 5). https://doi.org/10.3390/info14050285
  • S., Božanić, D., Pamučar, D., & Marinković, D. (2023). A SPHERICAL FUZZY BASED DECISION MAKING FRAMEWORK WITH EINSTEIN AGGREGATION FOR COMPARING PREPAREDNESS OF SMEs IN QUALITY 4.0. Facta Universitatis, Series: Mechanical Engineering, 21(3), 453. https://doi.org/10.22190/FUME230831037B
  • Biswas, S., Pamucar, D., Dey, P., Chatterjee, S., & Majumder, S. (2024). A q-ROF Based Intelligent Framework for Exploring the Interface Among the Variables of Culture Shock and Adoption Toward Organizational Effectiveness (ss. 255-293). https://doi.org/10.1007/978-981-99-5354-7_14
  • Biswas, S., Sanyal, A., Božanić, D., Kar, S., Milić, A., & Puška, A. (2023). A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers. Entropy, 25(6). https://doi.org/10.3390/e25060905
  • Biswas, S., Sanyal, A., Božanić, D., Puška, A., & Marinković, D. (2023). Critical Success Factors for 5G Technology Adaptation in Supply Chains. Sustainability, 15(6), 5539. https://doi.org/10.3390/su15065539
  • Bouraima, M. B., Qiu, Y., Stević, Ž., & Simić, V. (2023). Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. Socio-Economic Planning Sciences, 86. https://doi.org/10.1016/j.seps.2022.101475
  • Deveci, M., Gokasar, I., Pamucar, D., Biswas, S., & Simic, V. (2022). An Integrated Proximity Indexed Value and q-Rung Orthopair Fuzzy Decision-Making Model for Prioritization of Green Campus Transportation. q-Rung Orthopair Fuzzy Sets (ss.303-332). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-1449-2_12
  • Deveci, M., Gokasar, I., Pamucar, D., Coffman, D. M., & Papadonikolaki, E. (2022). Safe E-scooter operation alternative prioritization using a q-rung orthopair Fuzzy Einstein based WASPAS approach. Journal of Cleaner Production, 347. https://doi.org/10.1016/j.jclepro.2022.131239
  • Deveci, M., Pamucar, D., Gokasar, I., Koppen, M., & Gupta, B. B. (2022). Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3186294
  • Du, W. S. (2021). A further investigation on q-rung orthopair fuzzy Einstein aggregation operators. Journal of Intelligent and Fuzzy Systems, 41(6). https://doi.org/10.3233/JIFS-210548
  • Feng, F., Zheng, Y., Sun, B., & Akram, M. (2022). Novel score functions of generalized orthopair fuzzy membership grades with application to multiple attribute decision making. Granular Computing, 7(1). https://doi.org/10.1007/s41066-021-00253-7
  • Gandhi, N., & Kant, R. (2023). Evaluation of sustainability performance of the rail freight transportation: An index-based analysis. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2023.01.193
  • Garg, C. P., & Kashav, V. (2020). Assessment of Sustainable Initiatives in the Containerized Freight Railways of India using Fuzzy AHP Framework. Transportation Research Procedia, 48. https://doi.org/10.1016/j.trpro.2020.08.057
  • Gligorić, Z., Gligorić, M., Miljanović, I., Lutovac, S., & Milutinović, A. (2023). Assessing Criteria Weights by the Symmetry Point of Criterion (Novel SPC Method)–Application in the Efficiency Evaluation of the Mineral Deposit Multi-Criteria Partitioning Algorithm. CMES - Computer Modeling in Engineering and Sciences, 136(1). https://doi.org/10.32604/cmes.2023.025021
  • Görçün, Ö. Faruk., Chatterjee, Prasenjit., Stević, Željko., & Küçükönder, Hande. (2024). An integrated model for road freight transport firm selection in third-partylogistics using T-spherical Fuzzy sets. Transportation Research Part E: Logistics and Transportation Review, 186, 103542. https://doi.org/10.1016/j.tre.2024.103542
  • Güneri, B., & Deveci, M. (2023). Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach. Expert Systems with Applications, 222. https://doi.org/10.1016/j.eswa.2023.119846
  • Hezam, I. M., Vedala, N. R. D., Kumar, B. R., Mishra, A. R., & Cavallaro, F. (2023). Assessment of Biofuel Industry Sustainability Factors Based on the Intuitionistic Fuzzy Symmetry Point of Criterion and Rank-Sum-Based MAIRCA Method. Sustainability (Switzerland), 15(8). https://doi.org/10.3390/su15086749
  • Krishankumar, R., & Ecer, F. (2023). Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights. Applied Soft Computing, 132, 109870. https://doi.org/10.1016/j.asoc.2022.109870
  • Krmac, E., & Djordjević, B. (2018). An Evaluation of Indicators of Railway Intelligent Transportation Systems using the Group Analytic Hierarchy Process. Electronics Science Technology and Application, 4(2). https://doi.org/10.18686/esta.v4i2.57
  • Kumar, N., & Kumari, N. (2012). Conceptual architectural design of Indian railway intelligent transportation systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7266 LNCS. https://doi.org/10.1007/978-3-642-29667-3_13
  • Lance, G. N., & Williams, W. T. (1966). Computer Programs for Hierarchical Polythetic Classification (“Similarity Analyses”). The Computer Journal, 9(1). https://doi.org/10.1093/comjnl/9.1.60
  • Liu, P., & Wang, P. (2019). Multiple-attribute decision-making based on archimedean bonferroni operators of q-rung orthopair fuzzy numbers. IEEE Transactions on Fuzzy Systems, 27(5). https://doi.org/10.1109/TFUZZ.2018.2826452
  • Liu, Z., & Zhang, Y. (2022). Comprehensive Sustainable Assessment and Prioritization of Different Railway Projects Based on a Hybrid MCDM Model. Sustainability (Switzerland), 14(19). https://doi.org/10.3390/su141912065
  • Mansourianfar, M. H., & Haghshenas, H. (2018). Micro-scale sustainability assessment of infrastructure projects on urban transportation systems: Case study of Azadi district, Isfahan, Iran. Cities, 72. https://doi.org/10.1016/j.cities.2017.08.012
  • Mishra, A. R., & Rani, P. (2021). A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03549-3
  • Noruzi, M., Naderan, A., Zakeri, J. A., & Rahimov, K. (2023). A Novel Decision-Making Framework to Evaluate Rail Transport Development Projects Considering Sustainability under Uncertainty. Sustainability (Switzerland), 15(17). https://doi.org/10.3390/su151713086
  • Peng, X., & Dai, J. (2018). Approaches to single-valued neutrosophic MADM based on MABAC, TOPSIS and new similarity measure with score function. Neural Computing and Applications, 29(10). https://doi.org/10.1007/s00521-016-2607-y
  • Qahtan, S., Alsattar, H. A., Zaidan, A. A., Deveci, M., Pamucar, D., & Delen, D. (2023). Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology. Expert Systems with Applications, 223. https://doi.org/10.1016/j.eswa.2023.119958
  • Rani, P., Mishra, A. R., Pamucar, D., Ali, J., & Hezam, I. M. (2023). Interval-valued intuitionistic fuzzy symmetric point criterion-based MULTIMOORA method for sustainable recycling partner selection in SMEs. Soft Computing. https://doi.org/10.1007/s00500-023-08189-7
  • Rao, S. H. (2021). Transportation synthetic sustainability indices: A case of Taiwan intercity railway transport. Ecological Indicators, 127. https://doi.org/10.1016/j.ecolind.2021.107753
  • Saha, A., Majumder, P., Dutta, D., & Debnath, B. K. (2021). Multi-attribute decision making using q-rung orthopair fuzzy weighted fairly aggregation operators. Journal of Ambient Intelligence and Humanized Computing, 12(7). https://doi.org/10.1007/s12652-020-02551-5
  • Simionescu, V., & Silvius, G. (2016). Assessing Sustainability of Railway Modernization Projects; A Case Study from Romania. Procedia Computer Science, 100. https://doi.org/10.1016/j.procs.2016.09.182
  • Stoilova, S., Munier, N., Kendra, M., & Skrúcaný, T. (2020). Multi-criteria evaluation of railway network performance in countries of the TEN-T orient-east med corridor. Sustainability (Switzerland), 12(4). https://doi.org/10.3390/su12041482
  • Wang, J., Sekei, V. S., Ganiyu, S. A., & Makwetta, J. J. (2021). Research on the sustainability of the standard gauge railway construction project in Tanzania. Sustainability (Switzerland), 13(9). https://doi.org/10.3390/su13095271
  • Wang, P., Wang, J., Wei, G., & Wei, C. (2019). Similarity measures of q-rung orthopair fuzzy sets based on cosine function and their applications. Mathematics, 7(4). https://doi.org/10.3390/math7040340
  • Wang, R., & Li, Y. (2018). A novel approach for green supplier selection under aq-rung orthopair fuzzy environment. Symmetry, 10(12). https://doi.org/10.3390/sym10120687
  • Weber, S. (1983). A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms. Fuzzy Sets and Systems, 11(1-3). https://doi.org/10.1016/S0165-0114(83)80073-6
  • Wei, G., Gao, H., & Wei, Y. (2018). Some q-rung orthopair fuzzy Heronian mean operators in multiple attribute decision making. International Journal of Intelligent Systems, 33(7). https://doi.org/10.1002/int.21985
  • Yager, R. R. (2013). Pythagorean fuzzy subsets. Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375
  • Yager, R. R. (2017). Generalized Orthopair fuzzy sets. IEEE Transactions on Fuzzy Systems, 25(5), 1222-1230. https://doi.org/10.1109/TFUZZ.2016.2604005
  • Yin, S., Wang, Y., & Shafiee, S. (2023). Ranking products through online reviews considering the mass assignment of features based on BERT and q-rung orthopair fuzzy set theory. Expert Systems with Applications, 213. https://doi.org/10.1016/j.eswa.2022.119142
  • Yüksel, Ç., & Uncu, N. (2024). Evaluating the Performance of Railway Transportation Companies Using Multi-Criteria Decision-Making Methods. Demiryolu Mühendisliği, 20, 11-24. https://doi.org/10.47072/demiryolu.1407420
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Details

Primary Language Turkish
Subjects Satisfiability and Optimisation, Sustainable Development
Journal Section Research Article
Authors

Ömer Faruk Görçün 0000-0003-3850-6755

Nükhet Işıkoğlu 0009-0000-5213-7250

Özhan Görçün

Publication Date June 29, 2025
Submission Date April 28, 2025
Acceptance Date June 4, 2025
Published in Issue Year 2025 Issue: 2

Cite

APA Görçün, Ö. F., Işıkoğlu, N., & Görçün, Ö. (2025). DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ. Ulaştırma Ve Altyapı(2), 194-234.
AMA Görçün ÖF, Işıkoğlu N, Görçün Ö. DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ. Ulaştırma ve Altyapı. June 2025;(2):194-234.
Chicago Görçün, Ömer Faruk, Nükhet Işıkoğlu, and Özhan Görçün. “DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ”. Ulaştırma Ve Altyapı, no. 2 (June 2025): 194-234.
EndNote Görçün ÖF, Işıkoğlu N, Görçün Ö (June 1, 2025) DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ. Ulaştırma ve Altyapı 2 194–234.
IEEE Ö. F. Görçün, N. Işıkoğlu, and Ö. Görçün, “DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ”, Ulaştırma ve Altyapı, no. 2, pp. 194–234, June 2025.
ISNAD Görçün, Ömer Faruk et al. “DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ”. Ulaştırma ve Altyapı 2 (June 2025), 194-234.
JAMA Görçün ÖF, Işıkoğlu N, Görçün Ö. DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ. Ulaştırma ve Altyapı. 2025;:194–234.
MLA Görçün, Ömer Faruk et al. “DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ”. Ulaştırma Ve Altyapı, no. 2, 2025, pp. 194-3.
Vancouver Görçün ÖF, Işıkoğlu N, Görçün Ö. DEMİRYOLU TAŞIMACILIĞINDA SÜRDÜRÜLEBİLİRLİK STRATEJİLERİNİN Q-ROF BULANIK ORTAMDA ÖNCELİKLENDİRİLMESİ. Ulaştırma ve Altyapı. 2025(2):194-23.