MCDMAggregation

Maclaurin Symmetric Mean Operator

The 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.

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Sources

  1. Qin, 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
  2. Bonferroni, C. (1950). Sulle medie di potenze. Giornale dell'Istituto Italiano degli Attuari, 13, 37-48. link

Related methods

ScholarGateMaclaurin Symmetric Mean Operator (Maclaurin Symmetric Mean Operator (MSM)). Retrieved 2026-06-04 from https://scholargate.app/tr/decision-making/maclaurin-symmetric-mean-operator