{"title":"An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection","department":[{"_id":"277"}],"author":[{"last_name":"Tavana","full_name":"Tavana, Madjid","first_name":"Madjid","id":"31858"},{"last_name":"Shaabani","full_name":"Shaabani, Akram","first_name":"Akram"},{"first_name":"Soleyman","last_name":"Mansouri Mohammadabadi","full_name":"Mansouri Mohammadabadi, Soleyman"},{"full_name":"Varzgani, Nilofar","last_name":"Varzgani","first_name":"Nilofar"}],"type":"journal_article","publication":"International Journal of Systems Science: Operations & Logistics","date_created":"2024-05-04T14:17:36Z","user_id":"51811","doi":"10.1080/23302674.2020.1737754","_id":"53865","language":[{"iso":"eng"}],"volume":8,"issue":"3","status":"public","intvolume":"         8","date_updated":"2024-05-04T15:12:33Z","page":"238-261","publisher":"Informa UK Limited","publication_status":"published","publication_identifier":{"issn":["2330-2674","2330-2682"]},"citation":{"ama":"Tavana M, Shaabani A, Mansouri Mohammadabadi S, Varzgani N. An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection. <i>International Journal of Systems Science: Operations &#38; Logistics</i>. 2021;8(3):238-261. doi:<a href=\"https://doi.org/10.1080/23302674.2020.1737754\">10.1080/23302674.2020.1737754</a>","apa":"Tavana, M., Shaabani, A., Mansouri Mohammadabadi, S., &#38; Varzgani, N. (2021). An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection. <i>International Journal of Systems Science: Operations &#38; Logistics</i>, <i>8</i>(3), 238–261. <a href=\"https://doi.org/10.1080/23302674.2020.1737754\">https://doi.org/10.1080/23302674.2020.1737754</a>","ieee":"M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, and N. Varzgani, “An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection,” <i>International Journal of Systems Science: Operations &#38; Logistics</i>, vol. 8, no. 3, pp. 238–261, 2021, doi: <a href=\"https://doi.org/10.1080/23302674.2020.1737754\">10.1080/23302674.2020.1737754</a>.","bibtex":"@article{Tavana_Shaabani_Mansouri Mohammadabadi_Varzgani_2021, title={An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection}, volume={8}, DOI={<a href=\"https://doi.org/10.1080/23302674.2020.1737754\">10.1080/23302674.2020.1737754</a>}, number={3}, journal={International Journal of Systems Science: Operations &#38; Logistics}, publisher={Informa UK Limited}, author={Tavana, Madjid and Shaabani, Akram and Mansouri Mohammadabadi, Soleyman and Varzgani, Nilofar}, year={2021}, pages={238–261} }","mla":"Tavana, Madjid, et al. “An Integrated Fuzzy AHP- Fuzzy MULTIMOORA Model for Supply Chain Risk-Benefit Assessment and Supplier Selection.” <i>International Journal of Systems Science: Operations &#38; Logistics</i>, vol. 8, no. 3, Informa UK Limited, 2021, pp. 238–61, doi:<a href=\"https://doi.org/10.1080/23302674.2020.1737754\">10.1080/23302674.2020.1737754</a>.","chicago":"Tavana, Madjid, Akram Shaabani, Soleyman Mansouri Mohammadabadi, and Nilofar Varzgani. “An Integrated Fuzzy AHP- Fuzzy MULTIMOORA Model for Supply Chain Risk-Benefit Assessment and Supplier Selection.” <i>International Journal of Systems Science: Operations &#38; Logistics</i> 8, no. 3 (2021): 238–61. <a href=\"https://doi.org/10.1080/23302674.2020.1737754\">https://doi.org/10.1080/23302674.2020.1737754</a>.","short":"M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, N. Varzgani, International Journal of Systems Science: Operations &#38; Logistics 8 (2021) 238–261."},"year":"2021"}