Nikunj Agarwal

JSS Academy of Higher Education and Research

Papers

Total Citations

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About

Nikunj Agarwal is a prominent researcher in the field of decision science, with a primary focus on multiple attribute group decision-making (MAGDM) under complex fuzzy environments. His work advances the theoretical and practical applications of fuzzy set theory, particularly through the development of generalized aggregation operators. Agarwal’s most-cited paper, “Multiple attribute group decision-making based on generalized aggregation operators under linguistic interval-valued Pythagorean fuzzy environment” (2021), has garnered 16 citations, establishing a foundation for handling uncertainty and vagueness in group decisions. This contribution introduces novel operators that enhance the precision and reliability of evaluations in linguistic interval-valued Pythagorean fuzzy settings, a critical advancement for industries like supply chain management and risk assessment. Agarwal’s research is notable for bridging gaps between fuzzy logic and real-world decision problems, offering robust frameworks that improve consensus-building among experts. His work is widely referenced by scholars exploring hybrid fuzzy models and multi-criteria analysis, underscoring its impact on both theoretical developments and practical methodologies. Through his innovative aggregation techniques, Agarwal continues to shape how researchers and practitioners approach complex, uncertain decision environments.