- Alikhani, R., Torabi, S. A., & Altay, N. (2019). Strategic supplier selection under sustainability and risk criteria. International Journal of Production Economics, 208, 69-82. https://doi.org/10.1016/j.ijpe.2018.11.018
- Awasthi, A., Govindan, K., & Gold, S. (2018). Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117. https://doi.org/10.1016/j.ijpe.2017.10.013
- Baykasoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z. D., & Şahin, C. (2013). Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert systems with applications, 40(3), 899-907. https://doi.org/10.1016/j.eswa.2012.05.046
- Banaeian, N., Mobli, H., Nielsen, I. E., & Omid, M. (2015). Criteria definition and approaches in green supplier selection–a case study for raw material and packaging of food industry. Production & Manufacturing Research, 3(1), 149-168. https://doi.org/10.1080/21693277.2015.1016632
- Najafi, M., & Zolfagharinia, H. (2024). A Multi-objective integrated approach to address sustainability in a meat supply chain. Omega, 124, 103011. https://doi.org/10.1016/j.omega.2023.103011
- Çalık, A., Paksoy, T., & Huber, S (2019). Lean and green supplier selection problem: A novel multi objective linear programming model for an electronics board manufacturing company in Turkey. In Multiple criteria decision making and aiding (pp. 281-309). Springer, Cham. https://doi.org/10.1007/978-3-319-99304-1_10
- Chen, Z., Ming, X., Zhang, X., Yin, D., & Sun, Z. (2019). A rough-fuzzy DEMATEL-ANP method for evaluating sustainable value requirement of product service system. Journal of Cleaner Production, 228, 485-508. https://doi.org/10.1016/j.jclepro.2019.04.145
- Caccialanza, A., Cerrato, D., & Galli, D. (2023). Sustainability practices and challenges in the meat supply chain: a systematic literature review. British Food Journal, 125(12), 4470-4497. https://doi.org/10.1108/BFJ-10-2022-0866
- Chen, Z., Lu, M., Ming, X., Zhang, X., & Zhou, T. (2020). Explore and evaluate innovative value propositions for smart product service system: A novel graphics-based rough-fuzzy DEMATEL method. Journal of Cleaner Production, 243, 118672. https://doi.org/10.1016/j.jclepro.2019.118672
- Chen, Z., Ming, X., Zhou, T., & Chang, Y. (2020). Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach. Applied Soft Computing, 87, 106004. https://doi.org/10.1016/j.asoc.2019.106004
- Dalalah, D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert systems with applications, 38(7), 8384-8391. https://doi.org/10.1016/j.eswa.2011.01.031
- Ecer, F., & Pamucar, D (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM). and fuzzy CoCoSo with Bonferroni (CoCoSo’B). multi-criteria model. Journal of Cleaner Production, 266, 121981. https://doi.org/10.1016/j.jclepro.2020.121981
- Gökler, S. H., & Boran, S. (2025). A novel resilient and sustainable supplier selection model based on D-AHP and DEMATEL methods. Journal of engineering research, 13(1), 57-67. https://doi.org/10.1016/j.jer.2023.07.015
- Hendiani, S., Mahmoudi, A., & Liao, H (2020). A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection. Applied Soft Computing Journal 94. https://doi.org/10.1016/j.asoc.2020.106456
- Li, J., Fang, H., & Song, W. (2019). Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach. Journal of cleaner production, 222, 606-621. https://doi.org/10.1016/j.jclepro.2019.03.070
- Li, X., Han, Z., Zhang, R., Zhang, Y., & Zhang, L. (2020). Risk assessment of hydrogen generation unit considering dependencies using integrated DEMATEL and TOPSIS approach. International Journal of Hydrogen Energy, 45(53), 29630-29642. https://doi.org/10.1016/j.ijhydene.2020.07.243
- Lai, Y. J., Liu, T. Y., & Hwang, C. L. (1994). Topsis for MODM. European journal of operational research, 76(3), 486-500. https://doi.org/10.1016/0377-2217(94)90282-8
- Khan, A. U., & Ali, Y. (2021). Sustainable supplier selection for the cold supply chain (CSC) in the context of a developing country. Environment, development and sustainability, 1-30. https://doi.org/10.1007/s10668-020-01203-0
- Memari, A., Dargi, A., Jokar, M. R. A., Ahmad, R., & Rahim, A. R. A. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of manufacturing systems, 50, 9-24. https://doi.org/10.1016/j.jmsy.2018.11.002
- Mohammed, A., Setchi, R., Filip, M., Harris, I., & Li, X. (2018). An integrated methodology for a sustainable two-stage supplier selection and order allocation problem. Journal of Cleaner Production, 192, 99-114. https://doi.org/10.1016/j.jclepro.2018.04.131
- Mohammed, A. (2020). Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach. Annals of operations research, 293(2), 639-668. https://doi.org/10.1007/s10479-019-03167-5
- Masudin, I., Zuliana, P. E., Utama, D. M., & Restuputri, D. P. (2024). Assessment and risk mitigation on halal meat supply chain using fuzzy best-worst method (BWM) and risk mitigation number (RMN). Journal of Islamic Marketing, 15(3), 842-865. https://doi.org/10.1108/JIMA-08-2022-0240
- Mishra, A. R., Rani, P., Pamucar, D., & Saha, A. (2024). An integrated Pythagorean fuzzy fairly operator-based MARCOS method for solving the sustainable circular supplier selection problem. Annals of Operations Research, 342(1), 523-564. https://doi.org/10.1007/s10479-023-05453-9
- Nasri, S. A., Ehsani, B., Hosseininezhad, S. J., & Safaie, N. (2023). A sustainable supplier selection method using integrated Fuzzy DEMATEL–ANP–DEA approach (case study: Petroleum Industry). Environment, Development and Sustainability, 25(11), 12791-12827. https://doi.org/10.1007/s10668-022-02590-2
- Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455. https://doi.org/10.1016/S0377-2217(03)00020-1
- Pamučar, D., Petrović, I., & Ćirović, G. (2018). 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
- Pawlak, Z. (1982). Rough sets. International journal of computer & information sciences, 11(5), 341-356. https://doi.org/10.1007/BF01001956
- Sangaiah, A. K., Subramaniam, P. R., & Zheng, X. (2015). A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors. Neural Computing and Applications, 26(5), 1025-1040. https://doi.org/10.1007/s00521-014-1771-1
- Stević, Ž., Karamaşa, Ç., Demir, E., & Korucuk, S. (2025). Assessing sustainable production under circular economy context using a novel rough-fuzzy MCDM model: A case of the forestry industry in the Eastern Black Sea region. Journal of Enterprise Information Management, 38(1), 261-291. https://doi.org/10.1108/JEIM-10-2020-0419
- Singh, A., Kumar, V., & Verma, P. (2025). Sustainable supplier selection in a construction company: a new MCDM method based on dominance-based rough set analysis. Construction Innovation, 25(2), 328-362. https://doi.org/10.1108/CI-12-2022-0324
- Song, W., & Cao, J. (2017). A rough DEMATEL-based approach for evaluating interaction between requirements of product-service system. Computers & Industrial Engineering, 110, 353-363. https://doi.org/10.1016/j.cie.2017.06.020
- Islam, S., Amin, S. H., & Wardley, L. J. (2024). A supplier selection & order allocation planning framework by integrating deep learning, principal component analysis, and optimization techniques. Expert Systems with Applications, 235, 121121. https://doi.org/10.1016/j.eswa.2023.121121
- Steger, C. (1996). On the calculation of moments of polygons. Reporte técnico, Technische Universität München. https://mv.in.tum.de/_media/members/steger/publications/1996/fgbv-96-04-steger.pdf
- Tadić, S., Zečević, S., & Krstić, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert systems with applications, 41(18), 8112-8128. https://doi.org/10.1016/j.eswa.2014.07.021
- Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2008). A rough set enhanced fuzzy approach to quality function deployment. The International Journal of Advanced Manufacturing Technology, 37(5), 613-624. https://doi.org/10.1007/s00170-007-0989-9
- Zimmer, K., Fröhling, M., & Schultmann, F. (2016). Sustainable supplier management–a review of models supporting sustainable supplier selection, monitoring and development. International journal of production research, 54(5), 1412-1442. https://doi.org/10.1080/00207543.2015.1079340
- Zhang, X., & Su, J. (2019). A combined fuzzy DEMATEL and TOPSIS approach for estimating participants in knowledge-intensive crowdsourcing. Computers & Industrial Engineering, 137, 106085. https://doi.org/10.1016/j.cie.2019.106085
|