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| Plithogen MABAC (med BWM-viktning och Rough Number-osäkerhet)× | Analytic Hierarchy Process× | Best-Worst Method× | Shannons entropiviktmetod× | |
|---|---|---|---|---|
| Ämnesområde | Beslutsfattande | Beslutsfattande | Beslutsfattande | Beslutsfattande |
| Familj | MCDM | MCDM | MCDM | MCDM |
| Ursprungsår≠ | 2015 | 1980 | 2015 | 1948 |
| Upphovsperson≠ | Pamučar, D. Ćirović, G. | Saaty, T. L. | Rezaei, J. | Shannon, C. E. |
| Typ≠ | Plithogenic-rough border approximation area (PL+RN+MABAC) | Pairwise comparison (eigenvalue) | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Information-theoretic objective weighting (Shannon entropy) |
| Ursprungskälla≠ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link ↗ | Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713 | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| Alias | — | — | — | — |
| Närliggande≠ | 3 | 8 | 8 | 8 |
| Sammanfattning≠ | PL-MABAC (Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Ćirović, G. in 2015. 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. | BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatamängd ↗ |
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