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About

Sumera Naz is a prominent researcher specializing in fuzzy set theory, multi-attribute decision-making (MADM), and intelligent decision analysis under uncertainty. Her work focuses on developing and extending sophisticated fuzzy mathematical frameworks—including T-spherical fuzzy sets, q-rung orthopair fuzzy sets, and dual hesitant fuzzy environments—to solve complex real-world decision problems. Among her most influential contributions is her development of the Extended CODAS method for multi-attribute group decision-making using 2-tuple linguistic T-spherical fuzzy sets (2022, 34 citations), which significantly advanced the expressiveness of fuzzy-based decision models. She has also made notable strides in industrial applications, applying 2-tuple linguistic q-rung orthopair fuzzy approaches to arc welding robot selection (2022, 32 citations) and integrating the CRITIC-VIKOR method with probabilistic uncertain linguistic frameworks for enhanced robot selection (2024, 17 citations). Her foundational work on interval-valued q-rung orthopair dual hesitant fuzzy decision-making (2020, 29 citations) further demonstrates her breadth across theoretical and applied domains. With over 100 cumulative citations across her top works, Naz has established herself as a valuable contributor bridging abstract fuzzy mathematics with practical engineering and manufacturing decision challenges, making her research essential reading for scholars in computational intelligence and operations research.