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| Normalisasi Min-Maks× | Teknik untuk Urutan Preferensi berdasarkan Kesamaan dengan Solusi Ideal× | |
|---|---|---|
| Bidang | Pengambilan Keputusan | Pengambilan Keputusan |
| Keluarga | MCDM | MCDM |
| Tahun asal | 1981 | 1981 |
| Pencetus | Hwang, C. L., Yoon, K. | Hwang, C. L., Yoon, K. |
| Tipe≠ | Normalization (linear, range-scaling) | Distance-based (compromise) |
| Sumber perintis≠ | 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 | — | — |
| Terkait | 8 | 8 |
| Ringkasan≠ | 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. |
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