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Non-linear Best Worst Method

Non-linear BWM is a variant of the Best Worst Method that replaces the linear programming formulation with non-linear optimization. Instead of minimizing the maximum deviation (Chebyshev distance), it minimizes the sum of squared deviations (L2 norm). This provides more flexible weight derivation and better accommodates uncertain or fuzzy preferences.

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Sources

  1. Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985. DOI: 10.1016/j.jclepro.2019.04.228
  2. Ghorabaee, M. K., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2017). Extended EDAS method for fuzzy multi-criteria decision-making: An application to supplier selection. International Journal of Computers Communications & Control, 11(3), 358-371. link

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Referenced by

ScholarGateNon-linear Best Worst Method (Non-linear Best Worst Method (Non-linear BWM)). Retrieved 2026-06-04 from https://scholargate.app/tr/decision-making/non-linear-bwm