Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Нечеткий BWM× | Нелинейное программирование× | |
|---|---|---|
| Область≠ | Принятие решений | Оптимизация |
| Семейство≠ | MCDM | Process / pipeline |
| Год появления≠ | 2015 crisp; 2017 variant applicator | 2006 |
| Автор метода≠ | Guo, S., Zhao, H. | Jorge Nocedal & Stephen Wright |
| Тип≠ | Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programming | Continuous mathematical optimization |
| Основополагающий источник≠ | 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 |
| Другие названия≠ | — | NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama |
| Связанные≠ | 8 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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