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| Toán tử Trung bình Đối xứng Maclaurin× | Trung bình Bonferroni (BM)× | Kỹ thuật Sắp xếp Ưu tiên theo Độ Tương đồng với Giải pháp Lý tưởng× | |
|---|---|---|---|
| Lĩnh vực | Ra quyết định | Ra quyết định | Ra quyết định |
| Họ | MCDM | MCDM | MCDM |
| Năm ra đời≠ | 2014 | 1950 | 1981 |
| Người khởi xướng≠ | Variants developed from Maclaurin's mathematical theory | Bonferroni, C. | Hwang, C. L., Yoon, K. |
| Loại≠ | Symmetric mean aggregation operator for multiple criteria | Interrelationship-based aggregation — captures pairwise interactions | Distance-based (compromise) |
| Công trình gốc≠ | Qin, J., Liu, X., & Pedrycz, W. (2014). An extended TOPSIS model for multiple attribute decision making with interval-valued intuitionistic fuzzy information. International Journal of Fuzzy Systems, 16(1), 99-113. link ↗ | Bonferroni, C. (1950). Sulle medie multiple di potenze. Bollettino dell'Unione Matematica Italiana 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 ↗ |
| Tên gọi khác≠ | MSM, Maclaurin Mean | — | — |
| Liên quan≠ | 3 | 0 | 8 |
| Tóm tắt≠ | The Maclaurin Symmetric Mean (MSM) operator is an aggregation method that combines multiple criteria or attribute values using symmetric mean functions. Unlike simple averaging, MSM captures interactions between criteria and enables flexible sensitivity to criterion magnitudes through a parameter λ. It is particularly useful in fuzzy multi-criteria decision analysis and handles both individual and joint effects of criteria. | BONFERRONI-MEAN (Bonferroni Mean (BM)) is a aggregation multi-criteria decision-making (MCDM) method introduced by Bonferroni, C. in 1950. 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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