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Min-Max Normalization×Оценка на основе расстояния от среднего решения×Измерение альтернатив и ранжирование по компромиссному решению×
ОбластьПринятие решенийПринятие решенийПринятие решений
СемействоMCDMMCDMMCDM
Год появления198120152020
Автор методаHwang, C. L., Yoon, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
ТипNormalization (linear, range-scaling)Distance from average solutionUtility function (ideal + anti-ideal reference)
Основополагающий источникHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗
Другие названия
Связанные888
СводкаMIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) is a normalization 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.EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateСравнение методов: MIN-MAX-NORMALIZATION · EDAS · MARCOS. Получено 2026-06-18 из https://scholargate.app/ru/compare