השוואת שיטות

	דירוג ממוצע	תהליך ההיררכיה האנליטית	שיטת בורדה	שיטת קונדורסה
תחום	קבלת החלטות	קבלת החלטות	קבלת החלטות	קבלת החלטות
משפחה	MCDM	MCDM	MCDM	MCDM
שנת המקור	2024	1980	1900	1900
הוגה השיטה	Orakçı, E.	Saaty, T. L.	Borda, J.-C. de	Marquis de Condorcet
סוג	Order statistic — column-wise arithmetic mean	Pairwise comparison (eigenvalue)	Rank aggregation (positional voting)	Pairwise majority rule — winner beats every other alternative in pairwise contest
מקור מכונן	Orakçı, E. (2024). Çok Kriterli Karar Verme Problemleri için Toplulaştırma Teknikleri. Özgür Yayınları	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Borda, J.-C. de (1900). Mémoire sur les Élections au Scrutin. Histoire de l'Académie Royale des Sciences, Paris	Marquis de Condorcet (1900). Essai sur l'application de l'analyse à la probabilité des décisions rendues à la pluralité des voix (1785). Imprimerie Royale, Paris (original 1785)
כינויים	—	—	—	—
קשורות	7	8	0	5
תקציר	AVERAGE-RANKING (Average ranking — per-alternative mean rank) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Orakçı, E. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BORDA (Borda Count — Positional scoring rule for rank aggregation) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Borda, J.-C. de in 1900. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	CONDORCET (Condorcet Method — Pairwise majority winner from ranked ballots) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Marquis de Condorcet in 1900. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.