Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Min-Max-Normalisering× | Teknik för ordning av preferens genom likhet med ideal lösning× | |
|---|---|---|
| Ämnesområde | Beslutsfattande | Beslutsfattande |
| Familj | MCDM | MCDM |
| Ursprungsår | 1981 | 1981 |
| Upphovsperson | Hwang, C. L., Yoon, K. | Hwang, C. L., Yoon, K. |
| Typ≠ | Normalization (linear, range-scaling) | Distance-based (compromise) |
| Ursprungskälla≠ | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗ | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗ |
| Alias | — | — |
| Närliggande | 8 | 8 |
| Sammanfattning≠ | MIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) is a normalization multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatamängd ↗ |
|
|