ScholarGate
सहायक

विधियों की तुलना करें

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

Min-Max Normalization×कम्बिनेटिव डिस्टेंस-बेस्ड असेसमेंट×MABAC (बहु-विशेषता सीमा सन्निकटन क्षेत्र तुलना)×विकल्पों का मापन और समझौता समाधान के अनुसार रैंकिंग×
क्षेत्रनिर्णयननिर्णयननिर्णयननिर्णयन
परिवारMCDMMCDMMCDMMCDM
उद्भव वर्ष1981201620152020
प्रवर्तकHwang, C. L., Yoon, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.Pamučar, D., Ćirović, G.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
प्रकारNormalization (linear, range-scaling)Distance from anti-ideal (Euclidean + Taxicab)Border approximation area (distance from BAA)Utility function (ideal + anti-ideal reference)
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 ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗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 ↗
उपनाम
संबंधित8888
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.CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. 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.
ScholarGateडेटासेट
  1. v1
  2. 1 स्रोत
  3. PUBLISHED
  1. v1
  2. 1 स्रोत
  3. PUBLISHED
  1. v1
  2. 1 स्रोत
  3. PUBLISHED
  1. v1
  2. 1 स्रोत
  3. PUBLISHED

खोज पर जाएँ स्लाइड डाउनलोड करें

ScholarGateविधियों की तुलना करें: MIN-MAX-NORMALIZATION · CODAS · MABAC · MARCOS. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare