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| 계층적 최악-최선법 (Stratified Best Worst Method)× | AHP-BOCR× | 퍼지 BWM× | |
|---|---|---|---|
| 분야 | 의사결정 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM | MCDM |
| 기원 연도≠ | 2015 | 2008 | 2015 crisp; 2017 variant applicator |
| 창시자≠ | Jafar Rezaei and collaborators | Thomas L. Saaty (AHP); BOCR framework development extended AHP | Guo, S., Zhao, H. |
| 유형≠ | Hierarchical pairwise comparison with layer-wise best-worst | Hierarchical pairwise comparison with strategic perspective | Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programming |
| 원전≠ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985. DOI ↗ | Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. DOI ↗ | Guo, S., Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems DOI ↗ |
| 별칭≠ | Stratified BWM | AHP-BOCR, Strategic Criteria AHP | — |
| 관련≠ | 4 | 5 | 8 |
| 요약≠ | Stratified BWM is an extension of the Best Worst Method that applies the BWM logic recursively across multiple hierarchical layers. Instead of weighting criteria at a single level, it identifies the best and worst criterion within each level of a hierarchy, then aggregates weights across levels. This enables more realistic modeling of complex decision problems with natural hierarchical structures. | AHP-BOCR is an extension of the Analytic Hierarchy Process that incorporates strategic perspectives through the BOCR framework: Benefits, Opportunities, Costs, and Risks. Instead of optimizing a single objective, AHP-BOCR decomposes decisions into four strategic dimensions and uses a formula (Benefits × Opportunities) / (Costs × Risks) to synthesize a strategic priority. This approach is particularly suited to long-term, complex decisions with multiple stakeholder perspectives. | FUZZY-BWM (Fuzzy BWM — Triangular Fuzzy Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Guo, S., Zhao, H. in 2015 crisp; 2017 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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