TOPSIS Techniques on q-Rung Orthopair Fuzzy Sets and Its Extensions

Supplier selection in green supply chain management using correlation-based TOPSIS in a q-rung orthopair fuzzy soft environment

“…The approach mentioned above assists in reducing exaggerated decisions. Some TOPSIS techniques, as demonstrated by Ansari et al [ 2 ], Rouyendegh et al [ 6 ], Hajiaghaei-Keshteli et al [ 14 ], Salsabeela [ 24 ], Mahmood and Ali [ 25 ] under FS, IFS, PFS, q-ROFS, and Cq-ROFS respectively are unable to find an appropriate alternative because of the parametric absence. Also, whenever considering cases where , then the correlation-based TOPSIS approaches that have been developed within hybrid structures of fuzzy sets, such as IFSS and PFSS by Garg and Arora [ 32 ] Zulqarnain et al [ 44 ], are unable to solve such problems.…”

“…A more comprehensive examination of the information supplied indicates that the literature lacks comprehensive parameter analysis, as noted in Refs. [ 2 , 6 , 14 , 24 , 25 ]. Several TOPSIS strategies, including the ones stated in Refs.…”

“…He stated multiple essential operations for q-ROFS and addressed their ideological objectives. Salsabeela et al [ 24 ] extended the TOPSIS technique to solve MCDM complications under the q-ROFS setting. Mahmood and Ali [ 25 ] expanded entropy measures and correlation-based TOPSIS approach complex q-ROFS to resolve MADM obstacles.…”