Qifeng Wang

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About

Dr. Qifeng Wang is a decision scientist whose work advances intuitionistic fuzzy multiattribute decision-making, a critical area for handling uncertainty in complex evaluations. His research focuses on incorporating decision-makers’ risk preferences into fuzzy logic frameworks, addressing a key limitation where hesitation information in intuitionistic fuzzy numbers was often underutilized. His most cited paper, “Decision-Maker’s Risk Preference Based Intuitionistic Fuzzy Multiattribute Decision-Making and Its Application in Robot Enterprises Investment” (2018), proposes an innovative method to construct intuitionistic fuzzy weight vectors that better reflect real-world risk attitudes. This work has garnered 4 citations, demonstrating its niche but growing influence in applied fuzzy systems. By bridging theoretical gaps in hesitation information processing with practical investment scenarios—such as robot enterprise funding—Dr. Wang’s contributions enable more nuanced and reliable multiattribute decisions under ambiguity. His research is particularly valuable for scholars and practitioners in operations research, artificial intelligence, and risk management, offering tools to model subjective preferences in environments where data is incomplete or conflicting.