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맥클로린 대칭 평균 연산자×본페로니 평균 (BM)×가중멱평균 (Hölder 평균)×이상해결책과의 유사성에 따른 선호도 순위 결정 기법×
분야의사결정의사결정의사결정의사결정
계열MCDMMCDMMCDMMCDM
기원 연도2014195019341981
창시자Variants developed from Maclaurin's mathematical theoryBonferroni, C.Hardy, G. H. Littlewood, J. E. Pólya, G.Hwang, C. L., Yoon, K.
유형Symmetric mean aggregation operator for multiple criteriaInterrelationship-based aggregation — captures pairwise interactionsPower mean family — parametric generalisation of WAM/WGM/WHMDistance-based (compromise)
원전Qin, 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: 978-0-521-35880-4Hwang, 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 ↗
별칭MSM, Maclaurin Mean
관련3008
요약The 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.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.
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ScholarGate방법 비교: Maclaurin Symmetric Mean Operator · BONFERRONI-MEAN · POWER-MEAN · TOPSIS. 2026-06-20에 다음에서 검색함: https://scholargate.app/ko/compare