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Линейна максимална нормализация×Оценка чрез събиране на коефициенти×Измерване на алтернативи и класиране според компромисно решение×
ОбластВземане на решенияВземане на решенияВземане на решения
СемействоMCDMMCDMMCDM
Година на възникване196720102020
СъздателFishburn, P. C.Zavadskas, E. K., Turskis, Z.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
ТипNormalization (linear-max, ratio-based)Additive utility ratio (optimal reference row)Utility function (ideal + anti-ideal reference)
Основополагащ източникFishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗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 ↗
Други названия
Свързани488
РезюмеLINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)) is a normalization multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. 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 на методи: LINEAR-MAX-NORMALIZATION · ARAS · MARCOS. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare