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| HF-TOPSIS× | Pythagorean-laajennus TOPSIS-menetelmälle× | |
|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM |
| Syntyvuosi≠ | 2013 | 2014 |
| Kehittäjä≠ | Xu, Z., Zhang, X. | Zhang, X., Xu, Z. |
| 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). | Pythagorean outranking/ranking — Pythagorean Fuzzy Number (PFN: μ, ν; μ²+ν² ≤ 1) |
| Alkuperäislähde≠ | Xu, Z., Zhang, X. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems DOI ↗ | Zhang, X., Xu, Z. (2014). Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets. International Journal of Intelligent Systems 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. | PF-TOPSIS (Pythagorean extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhang, X., Xu, Z. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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