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| KEmeny Median Indicator Ranks Accordance× | 이상해결책과의 유사성에 따른 선호도 순위 결정 기법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2014 | 1981 |
| 창시자≠ | Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. | Hwang, C. L., Yoon, K. |
| 유형≠ | Group-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groups | Distance-based (compromise) |
| 원전≠ | Krylovas, A., Zavadskas, E. K., Kosareva, N., Dadelo, S. (2014). New KEMIRA method for determining priorities of the attributes in solving MCDM problem. International Journal of Information Technology & Decision Making link ↗ | 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 ↗ |
| 별칭 | — | — |
| 관련≠ | 4 | 8 |
| 요약≠ | KEMIRA (KEmeny Median Indicator Ranks Accordance) is a ranking multi-criteria decision-making (MCDM) method introduced by Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. in 2014. 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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