השוואת שיטות

	הרחבת קטע של WASPAS	תהליך ההיררכיה האנליטית	תהליך הרשת האנליטי (AHP עם משוב ותלות הדדית)	שיטת BWM בייסיאנית
תחום	קבלת החלטות	קבלת החלטות	קבלת החלטות	קבלת החלטות
משפחה	MCDM	MCDM	MCDM	MCDM
שנת המקור	1966	1980	1996	2020
הוגה השיטה	Moore, R. E.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
סוג	Interval outranking/ranking — Interval Number (IN: [a, b])	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
מקור מכונן	Moore, R. E. (1966). Interval Analysis. Prentice-Hall, Englewood Cliffs	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
כינויים	—	—	—	—
קשורות	8	8	8	8
תקציר	IV-WASPAS (Interval extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Moore, R. E. in 1966. 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.	ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.