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| HF-TOPSIS× | Kriteerien korrelaatio ja keskihajonta objektiivinen painotus× | |
|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM |
| Syntyvuosi≠ | 2013 | 2010 |
| Kehittäjä≠ | Xu, Z., Zhang, X. | Wang, Y. M., Luo, Y. |
| Tyyppi≠ | Distance-to-ideal ranking (Hwang-Yoon 1981) extended to Hesitant Fuzzy Elements (HFE ⊂ [0,1]) via the hesitant normalised Euclidean distance d_1 (Xu-Xia 2011b); supports three weight-information modes: fully specified, completely unknown (Eq.(22) maximizing deviation closed-form), and partly known (Model M-2 linear programme). | Correlation-penalised standard-deviation weighting |
| Alkuperäislähde≠ | Xu, Z., Zhang, X. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems 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 ↗ |
| Rinnakkaisnimet | — | — |
| Liittyvät | 8 | 8 |
| Tiivistelmä≠ | HF-TOPSIS (Hesitant Fuzzy TOPSIS with optional incomplete weight information (Xu-Zhang 2013 KBS)) is a ranking multi-criteria decision-making (MCDM) method introduced by Xu, Z., Zhang, X. in 2013. 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. |
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