Farkhanda Afzal

National University of Sciences and Technology

Papers

Total Citations

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About

Dr. Farkhanda Afzal is a leading researcher in decision science, fuzzy logic, and intelligent systems, with a focus on advancing multi-attribute group decision-making (MAGDM) methodologies. Her most cited work introduces novel induced bipolar neutrosophic aggregation operators based on Einstein operations, providing a robust framework for handling uncertainty and imprecision in complex real-world problems, such as robot selection. This contribution, published in 2023 with 6 citations, has already garnered attention for its practical applicability in engineering and technology management. Dr. Afzal also explores intelligent software engineering, as evidenced by her work on an intelligent platform for software component mining and retrieval (3 citations), which addresses the growing need for adaptable programming frameworks in robotic and IoT systems. Her research bridges theoretical advancements in fuzzy set theory with tangible solutions for automation and decision support. With a growing citation record and a focus on emerging technologies, Dr. Afzal is establishing herself as a key contributor to the fields of computational intelligence and applied decision analysis, inspiring both students and fellow researchers to tackle uncertainty in data-driven environments.