השוואת שיטות

	שיטת BWM בייסיאנית	AHPSort	שילוב לינארי אוטומטי בזוגות של סדר עדיפויות	הערכת יחס חיבורי
תחום	קבלת החלטות	קבלת החלטות	קבלת החלטות	קבלת החלטות
משפחה	MCDM	MCDM	MCDM	MCDM
שנת המקור	2020	2012	2020	2010
הוגה השיטה	Mohammadi, M., Rezaei, J.	Ishizaka, A., Nemery, P., Pearman, C.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zavadskas, E. K., Turskis, Z.
סוג	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision	AHP-based sorting with limiting or central profiles	Pairwise dominance aggregation (automatic combination)	Additive utility ratio (optimal reference row)
מקור מכונן	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega	Ishizaka, A., Nemery, P., Pearman, C. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research	Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy
כינויים	—	—	—	—
קשורות	8	8	8	8
תקציר	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.	AHPSORT (AHPSort — AHP-based classification of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Ishizaka, A., Nemery, P., Pearman, C. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.