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وزن‌دهی تحلیل مؤلفه‌های اصلی×AHPSort×ارزیابی نسبت افزایشی×
حوزهتصمیم‌گیریتصمیم‌گیریتصمیم‌گیری
خانوادهMCDMMCDMMCDM
سال پیدایش190120122010
پدیدآورPearson, K.Ishizaka, A., Nemery, P., Pearman, C.Zavadskas, E. K., Turskis, Z.
نوعWeight_Objective (PCA variance explained, eigenvector-based)AHP-based sorting with limiting or central profilesAdditive utility ratio (optimal reference row)
منبع بنیادینPearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Ishizaka, A., Nemery, P., Pearman, C. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production 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 ↗
نام‌های دیگر
مرتبط888
خلاصهPCA-WEIGHT (PCA Weighting — Principal Component Analysis based objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pearson, K. in 1901. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AHPSORT (AHPSort — AHP-based classification of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Ishizaka, A., Nemery, P., Pearman, C. in 2012. 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.
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ScholarGateمقایسهٔ روش‌ها: PCA-WEIGHT · AHPSORT · ARAS. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare