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| Оператор на симетричното средно на Maclaurin× | Техника за подреждане на предпочитанията чрез сходство с идеалното решение× | |
|---|---|---|
| Област | Вземане на решения | Вземане на решения |
| Семейство | MCDM | MCDM |
| Година на възникване≠ | 2014 | 1981 |
| Създател≠ | Variants developed from Maclaurin's mathematical theory | Hwang, C. L., Yoon, K. |
| Тип≠ | Symmetric mean aggregation operator for multiple criteria | Distance-based (compromise) |
| Основополагащ източник≠ | 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 ↗ | 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 ↗ |
| Други названия≠ | MSM, Maclaurin Mean | — |
| Свързани≠ | 3 | 8 |
| Резюме≠ | 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. | 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. |
| ScholarGateНабор от данни ↗ |
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