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| Nemlineáris legjobb-legrosszabb módszer× | Nemlineáris programozás× | |
|---|---|---|
| Tudományterület≠ | Döntéshozatal | Optimalizálás |
| Módszercsalád≠ | MCDM | Process / pipeline |
| Keletkezés éve≠ | 2016 | 2006 |
| Megalkotó≠ | Extended development of Rezaei's BWM framework | Jorge Nocedal & Stephen Wright |
| Típus≠ | Non-linear optimization for flexible weight derivation | Continuous mathematical optimization |
| Alapmű≠ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model. Journal of Cleaner Production, 229, 976-985. DOI ↗ | Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1 |
| Alternatív nevek≠ | Non-linear BWM, Nonlinear BWM | NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama |
| Kapcsolódó | 3 | 3 |
| Összefoglaló≠ | 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. | 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. |
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