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| 이웃 적응형 가중 평균법 (neighbourhood-adaptive Ordered Weighted Averaging)× | 섀넌 엔트로피 가중치 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2014 | 1948 |
| 창시자≠ | Malczewski, J.; Liu, X. | Shannon, C. E. |
| 유형≠ | Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywhere | Information-theoretic objective weighting (Shannon entropy) |
| 원전≠ | Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| 별칭 | — | — |
| 관련 | 8 | 8 |
| 요약≠ | LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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