Solving group decision-making problems in manufacturing systems by an uncertain compromise ranking method. - S. Meysam Mousavi; Nazanin Foroozesh; Hossein Gitinavard; Behnam Vahdani (Int. J. Appl. Decis. Sci., 2018)

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. - Nazanin Foroozesh; Reza Tavakkoli-Moghaddam; S. Meysam Mousavi (Neural Comput. Appl., 2018)

An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem. - Nazanin Foroozesh; Reza Tavakkoli-Moghaddam; Seyed Meysam Mousavi (J. Intell. Fuzzy Syst., 2019)

A new comprehensive possibilistic group decision approach for resilient supplier selection with mean-variance-skewness-kurtosis and asymmetric information under interval-valued fuzzy uncertainty. - Nazanin Foroozesh; Reza Tavakkoli-Moghaddam; S. Meysam Mousavi; Behnam Vahdani (Neural Comput. Appl., 2019)

A new soft computing approach for green supplier selection problem with interval type-2 trapezoidal fuzzy statistical group decision and avoidance of information loss. - S. Meysam Mousavi; Nazanin Foroozesh; Edmundas Kazimieras Zavadskas; Jurgita Antucheviciene (Soft Comput., 2020)

A new fuzzy-stochastic compromise ratio approach for green supplier selection problem with interval-valued possibilistic statistical information. - Nazanin Foroozesh; Fariborz Jolai; S. Meysam Mousavi; Behrooz Karimi (Neural Comput. Appl., 2021)

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. - Nazanin Foroozesh; Behrooz Karimi; S. Meysam Mousavi; Mohammad Mojtahedi (J. Ind. Inf. Integr., 2023)