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फजी लॉगरिथम मेथोडोलॉजी ऑफ एडिटिव वेट्स (TFN)×आदर्श समाधान के साथ समानता द्वारा वरीयता के लिए तकनीक×
क्षेत्रनिर्णयननिर्णयन
परिवारMCDMMCDM
उद्भव वर्ष2021 crisp; 2022 variant applicator1981
प्रवर्तकBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Hwang, C. L., Yoon, K.
प्रकारTriangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointDistance-based (compromise)
मौलिक स्रोतBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. (2022). Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making. Axioms DOI ↗Hwang, 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 ↗
उपनाम
संबंधित88
सारांशF-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. in 2021 crisp; 2022 variant applicator. 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.
ScholarGateडेटासेट
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  1. v1
  2. 1 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: F-LMAW · TOPSIS. 2026-06-19 को यहाँ से प्राप्त https://scholargate.app/hi/compare