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मैक्लोरिन सममित माध्य ऑपरेटर×बोनफेरोनी माध्य (BM)×भारित घात माध्य (होल्डर माध्य)×
क्षेत्रनिर्णयननिर्णयननिर्णयन
परिवारMCDMMCDMMCDM
उद्भव वर्ष201419501934
प्रवर्तकVariants developed from Maclaurin's mathematical theoryBonferroni, C.Hardy, G. H. Littlewood, J. E. Pólya, G.
प्रकारSymmetric mean aggregation operator for multiple criteriaInterrelationship-based aggregation — captures pairwise interactionsPower mean family — parametric generalisation of WAM/WGM/WHM
मौलिक स्रोतQin, J., Liu, X., & Pedrycz, W. (2014). An extended TOPSIS model for multiple attribute decision making with interval-valued intuitionistic fuzzy information. International Journal of Fuzzy Systems, 16(1), 99-113. link ↗Bonferroni, C. (1950). Sulle medie multiple di potenze. Bollettino dell'Unione Matematica Italiana link ↗Hardy, G. H., Littlewood, J. E., Pólya, G. (1934). Inequalities. Cambridge University Press ISBN: 978-0-521-35880-4
उपनामMSM, Maclaurin Mean
संबंधित300
सारांशThe Maclaurin Symmetric Mean (MSM) operator is an aggregation method that combines multiple criteria or attribute values using symmetric mean functions. Unlike simple averaging, MSM captures interactions between criteria and enables flexible sensitivity to criterion magnitudes through a parameter λ. It is particularly useful in fuzzy multi-criteria decision analysis and handles both individual and joint effects of criteria.BONFERRONI-MEAN (Bonferroni Mean (BM)) is a aggregation multi-criteria decision-making (MCDM) method introduced by Bonferroni, C. in 1950. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.POWER-MEAN (Weighted Power Mean (Hölder Mean)) is a aggregation multi-criteria decision-making (MCDM) method introduced by Hardy, G. H. Littlewood, J. E. Pólya, G. in 1934. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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