Fariha Zafar

Papers

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About

Fariha Zafar is an emerging researcher in the field of decision science and fuzzy logic, with a focus on developing hybrid mathematical frameworks for complex, uncertain environments. Her most-cited work, "A hybrid decision-making technique based on extended entropy and trapezoidal fuzzy rough numbers" (2024), introduces a novel integration of entropy measures with trapezoidal fuzzy rough numbers to enhance the reliability of multi-criteria decision-making. This contribution addresses critical gaps in handling vagueness and incomplete information, offering a robust tool for applications in engineering, management, and artificial intelligence. With 8 citations already in its first year, the paper signals strong early impact and growing recognition within the fuzzy systems community. Zafar’s research is particularly notable for its methodological rigor and practical applicability, bridging theoretical advances with real-world problem-solving. As a rising voice in her field, she continues to explore how rough set theory and fuzzy logic can be synergized to improve decision outcomes under uncertainty. Her work is essential reading for students and researchers interested in the cutting edge of hybrid intelligent systems and computational intelligence.