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Multicriteria Decision Making using TOPSIS Method – An Accurate Selection of Deserving Candidates

Fair Charity Distribution Using TOPSIS | International Conference Research Presentation

📄 Description:
This video is a presentation of the research paper titled “Multicriteria Decision Making Using TOPSIS Method for Accurate Selection of Deserving Candidates”, co-authored by Dr. Rahman Ali (University of Peshawar, Pakistan) and Dr. Masoud Khakzadi (Zayed University, UAE). The paper was presented at an international conference held in China.

The research proposes a novel framework that addresses the challenges NGOs and NPOs face in identifying truly deserving candidates for charitable donations. Using the TOPSIS method combined with Multi-Criteria Decision Making (MCDM), the system considers 16 diverse factors—such as health, income, disability, and lifestyle—to ensure a fair and data-driven ranking process. The model leverages expert input, AHP-based weighting, and real-world data to improve decision-making accuracy and efficiency.

📄 To read the full research paper and better understand the methodology, follow the link below:
👉 https://link.springer.com/chapter/10.1007/978-3-030-89912-7_39

For questions, collaboration, or further details, please feel free to get in touch using the contact information provided in the video.

Видео Multicriteria Decision Making using TOPSIS Method – An Accurate Selection of Deserving Candidates канала Dr. Rahman Ali
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