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كيمنيا (KEmeny Median Indicator Ranks Accordance)×أسلوب التفضيل حسب التشابه مع الحل المثالي×نموذج المجموع المرجح (الترجيح الجمعي البسيط)×
المجالاتخاذ القراراتخاذ القراراتخاذ القرار
العائلةMCDMMCDMMCDM
سنة النشأة201419811967
صاحب الطريقةKrylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.Hwang, C. L., Yoon, K.Fishburn, P. C.
النوعGroup-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groupsDistance-based (compromise)Additive utility — linear weighted sum
المصدر التأسيسيKrylovas, A., Zavadskas, E. K., Kosareva, N., Dadelo, S. (2014). New KEMIRA method for determining priorities of the attributes in solving MCDM problem. International Journal of Information Technology & Decision Making 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 ↗Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research DOI ↗
الأسماء البديلة
ذات صلة488
الملخصKEMIRA (KEmeny Median Indicator Ranks Accordance) is a ranking multi-criteria decision-making (MCDM) method introduced by Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.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.WSM (Weighted Sum Model (Simple Additive Weighting)) is a ranking 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.
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ScholarGateقارن الطرق: KEMIRA · TOPSIS · WSM. استُرجع بتاريخ 2026-06-20 من https://scholargate.app/ar/compare