Porovnať metódy

	Nelineárna metóda najlepšieho a najhoršieho (Non-linear Best Worst Method)	Metóda najlepšieho a najhoršieho (Best-Worst Method)	Nelineárne programovanie
Odbor	Rozhodovanie	Rozhodovanie	Optimalizácia
Rodina	MCDM	MCDM	Process / pipeline
Rok vzniku	2016	2015	2006
Tvorca	Extended development of Rezaei's BWM framework	Rezaei, J.	Jorge Nocedal & Stephen Wright
Typ	Non-linear optimization for flexible weight derivation	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Continuous mathematical optimization
Pôvodný zdroj	Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985.	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1
Ďalšie názvy	Non-linear BWM, Nonlinear BWM	—	NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama
Príbuzné	3	8	3
Zhrnutie	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.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Nonlinear programming (NLP) is a branch of mathematical optimization concerned with problems in which the objective function or at least one constraint is nonlinear. Formalized comprehensively by Jorge Nocedal and Stephen Wright in their seminal 2006 text, NLP encompasses gradient-based algorithms — including sequential quadratic programming (SQP), interior-point methods, and quasi-Newton approaches — for finding locally or globally optimal solutions to continuous decision problems arising across engineering, economics, and the physical sciences.