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Nazanin Foroozesh
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2020 – today
- 2023
- [j7]Nazanin Foroozesh, Behrooz Karimi, S. Meysam Mousavi, Mohammad Mojtahedi:
A hybrid decision-making method using robust programming and interval-valued fuzzy sets for sustainable-resilient supply chain network design considering circular economy and technology levels. J. Ind. Inf. Integr. 33: 100440 (2023) - 2021
- [j6]Nazanin Foroozesh, Fariborz Jolai, S. Meysam Mousavi, Behrooz Karimi:
A new fuzzy-stochastic compromise ratio approach for green supplier selection problem with interval-valued possibilistic statistical information. Neural Comput. Appl. 33(13): 7893-7911 (2021) - 2020
- [j5]S. Meysam Mousavi, Nazanin Foroozesh, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene:
A new soft computing approach for green supplier selection problem with interval type-2 trapezoidal fuzzy statistical group decision and avoidance of information loss. Soft Comput. 24(16): 12313-12327 (2020)
2010 – 2019
- 2019
- [j4]Nazanin Foroozesh, Reza Tavakkoli-Moghaddam, Seyed Meysam Mousavi:
An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem. J. Intell. Fuzzy Syst. 36(2): 1855-1866 (2019) - [j3]Nazanin Foroozesh, Reza Tavakkoli-Moghaddam, S. Meysam Mousavi, Behnam Vahdani:
A new comprehensive possibilistic group decision approach for resilient supplier selection with mean-variance-skewness-kurtosis and asymmetric information under interval-valued fuzzy uncertainty. Neural Comput. Appl. 31(11): 6959-6979 (2019) - 2018
- [j2]S. Meysam Mousavi, Nazanin Foroozesh, Hossein Gitinavard, Behnam Vahdani:
Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method. Int. J. Appl. Decis. Sci. 11(1): 55-78 (2018) - [j1]Nazanin Foroozesh, Reza Tavakkoli-Moghaddam, S. Meysam Mousavi:
A novel group decision model based on mean-variance-skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty. Neural Comput. Appl. 30(11): 3277-3293 (2018)
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