Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Neutrosophilise TOPSIS laiendus× | Kriteeriumide korrelatsiooni ja standardhälbe objektiivne kaalutamine× | |
|---|---|---|
| Valdkond | Otsustamine | Otsustamine |
| Perekond | MCDM | MCDM |
| Tekkeaasta≠ | 2016 | 2010 |
| Looja≠ | Biswas, P., Pramanik, S., Giri, B. C. | Wang, Y. M., Luo, Y. |
| Tüüp≠ | Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) | Correlation-penalised standard-deviation weighting |
| Algallikas≠ | Biswas, P., Pramanik, S., Giri, B. C. (2016). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing and Applications DOI ↗ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ |
| Rööpnimetused | — | — |
| Seotud | 8 | 8 |
| Kokkuvõte≠ | N-TOPSIS (Neutrosophic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Biswas, P., Pramanik, S., Giri, B. C. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateAndmestik ↗ |
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