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تجميع عدد بوردا×التصويت المرجح×
المجالالتعلم التجميعياتخاذ القرار
العائلةMachine learningMCDM
سنة النشأة17811951
صاحب الطريقةJean-Charles de BordaArrow, K. J.
النوعrank-based aggregationSocial choice — weighted positional voting rule
المصدر التأسيسيBorda, J. C. de (1781). Mémoire sur les élections au scrutin. Histoire de l'Académie Royale des Sciences. link ↗Arrow, K. J. (1951). Social Choice and Individual Values. Wiley, New York DOI ↗
الأسماء البديلةweighted voting, rank aggregation
ذات صلة30
الملخصBorda count is a preference aggregation method that combines ranked predictions from multiple classifiers by assigning points based on ranking position. Each classifier ranks the possible outcomes, and each class receives points inversely proportional to its rank position. The class with the highest total score is selected. Originally proposed by French mathematician Jean-Charles de Borda in 1781, this method has been adapted for ensemble learning to aggregate soft predictions and rank-ordered outputs.WEIGHTED-VOTING (Weighted Voting — Weighted positional aggregation of multiple rankings) is a ranking multi-criteria decision-making (MCDM) method introduced by Arrow, K. J. in 1951. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateقارن الطرق: Borda Count Aggregation · WEIGHTED-VOTING. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare