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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

लीनियर मैक्स नॉर्मलाइजेशन×योज्य अनुपात मूल्यांकन×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष19672010
प्रवर्तकFishburn, P. C.Zavadskas, E. K., Turskis, Z.
प्रकारNormalization (linear-max, ratio-based)Additive utility ratio (optimal reference row)
मौलिक स्रोतFishburn, 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 ↗
उपनाम
संबंधित48
सारांशLINEAR-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.
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ScholarGateविधियों की तुलना करें: LINEAR-MAX-NORMALIZATION · ARAS. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare