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Min-Max Normalization×भारित समेकित योग उत्पाद मूल्यांकन×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष19812012
प्रवर्तकHwang, C. L., Yoon, K.Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.
प्रकारNormalization (linear, range-scaling)Convex combination (SAW + WPM)
मौलिक स्रोतHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika DOI ↗
उपनाम
संबंधित88
सारांशMIN-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.WASPAS (Weighted Aggregated Sum Product Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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