Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Labākā-Sliktākā metode× | Fuzzy BWM× | Nelineārā programmēšana× | |
|---|---|---|---|
| Nozare≠ | Lēmumu pieņemšana | Lēmumu pieņemšana | Optimizācija |
| Saime≠ | MCDM | MCDM | Process / pipeline |
| Izcelsmes gads≠ | 2015 | 2015 crisp; 2017 variant applicator | 2006 |
| Autors≠ | Rezaei, J. | Guo, S., Zhao, H. | Jorge Nocedal & Stephen Wright |
| Tips≠ | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programming | Continuous mathematical optimization |
| Pirmavots≠ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ | Guo, S., Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems DOI ↗ | Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1 |
| Citi nosaukumi≠ | — | — | NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama |
| Saistītās≠ | 8 | 8 | 3 |
| Kopsavilkums≠ | 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. | FUZZY-BWM (Fuzzy BWM — Triangular Fuzzy Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Guo, S., Zhao, H. in 2015 crisp; 2017 variant applicator. 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. |
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