Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Paras-Huonoin -menetelmä× | Epäkäsitteellinen optimointi× | |
|---|---|---|
| Tieteenala≠ | Päätöksenteko | Optimointi |
| Menetelmäperhe≠ | MCDM | Process / pipeline |
| Syntyvuosi≠ | 2015 | 2006 |
| Kehittäjä≠ | Rezaei, J. | Jorge Nocedal & Stephen Wright |
| Tyyppi≠ | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Continuous mathematical optimization |
| Alkuperäislähde≠ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ | Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1 |
| Rinnakkaisnimet≠ | — | NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama |
| Liittyvät≠ | 8 | 3 |
| Tiivistelmä≠ | 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. |
| ScholarGateAineisto ↗ |
|
|