विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| जेड-नंबर बेस्ट-वॉरस्ट विधि× | WASPAS का Z-संख्या विस्तार× | |
|---|---|---|
| क्षेत्र | निर्णयन | निर्णयन |
| परिवार | MCDM | MCDM |
| उद्भव वर्ष≠ | 2018 | 2021 |
| प्रवर्तक≠ | Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia) | Ghoushchi, S. J., Yousefi, S., Khazaeili, M. |
| प्रकार≠ | Pairwise comparison weighting under Z-number uncertainty | Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy) |
| मौलिक स्रोत≠ | Aboutorab, H., Saberi, M., Asadabadi, M.R., Hussain, O., Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications DOI ↗ | Ghoushchi, S. J., Yousefi, S., Khazaeili, M. (2021). Theory-Based Failure Modes and Effect Analysis for Medication Errors (Z-SWARA & Z-WASPAS). Journal of Healthcare Engineering DOI ↗ |
| उपनाम | — | — |
| संबंधित | 8 | 8 |
| सारांश≠ | Z-BWM (Z-Number Best-Worst Method) is a weighting multi-criteria decision-making (MCDM) method introduced by Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia) in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | Z-WASPAS (Z-Number extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ghoushchi, S. J., Yousefi, S., Khazaeili, M. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateडेटासेट ↗ |
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