השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| תכנות מטרות (Goal Programming)× | תהליך הרשת האנליטי (AHP עם משוב ותלות הדדית)× | שיטת BWM בייסיאנית× | |
|---|---|---|---|
| תחום | קבלת החלטות | קבלת החלטות | קבלת החלטות |
| משפחה | MCDM | MCDM | MCDM |
| שנת המקור≠ | 1955 | 1996 | 2020 |
| הוגה השיטה≠ | Charnes, A., Cooper, W. W. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| סוג≠ | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| מקור מכונן≠ | Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗ | 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 DOI ↗ |
| כינויים | — | — | — |
| קשורות | 8 | 8 | 8 |
| תקציר≠ | GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. 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. |
| ScholarGateמערך נתונים ↗ |
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