השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| הרחבת DHF-TODIM (Dual Hesitant Fuzzy extension of TODIM)× | תהליך ההיררכיה האנליטית× | תהליך הרשת האנליטי (AHP עם משוב ותלות הדדית)× | |
|---|---|---|---|
| תחום | קבלת החלטות | קבלת החלטות | קבלת החלטות |
| משפחה | MCDM | MCDM | MCDM |
| שנת המקור≠ | 2023 | 1980 | 1996 |
| הוגה השיטה≠ | Liu, Y., Tariq, M., Khan, S., Abdullah, S. | Saaty, T. L. | Saaty, T. L. |
| סוג≠ | Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set) | Pairwise comparison (eigenvalue) | Weight_Subjective (pairwise comparison, supermatrix, network structure) |
| מקור מכונן≠ | Liu, Y., Tariq, M., Khan, S., Abdullah, S. (2023). Complex dual hesitant fuzzy TODIM method and their application in Russia–Ukraine war's impact on global economy. Complex & Intelligent Systems DOI ↗ | 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 |
| כינויים | — | — | — |
| קשורות | 8 | 8 | 8 |
| תקציר≠ | DHF-TODIM (Dual Hesitant Fuzzy extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Liu, Y., Tariq, M., Khan, S., Abdullah, S. in 2023. 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. |
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