विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सर्वश्रेष्ठ-निकृष्टतम विधि (Best-Worst Method)× | फजी बीडब्ल्यूएम× | अरेखीय प्रोग्रामन× | |
|---|---|---|---|
| क्षेत्र≠ | निर्णयन | निर्णयन | अनुकूलन |
| परिवार≠ | MCDM | MCDM | Process / pipeline |
| उद्भव वर्ष≠ | 2015 | 2015 crisp; 2017 variant applicator | 2006 |
| प्रवर्तक≠ | Rezaei, J. | Guo, S., Zhao, H. | Jorge Nocedal & Stephen Wright |
| प्रकार≠ | 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 |
| मौलिक स्रोत≠ | 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 |
| उपनाम≠ | — | — | NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama |
| संबंधित≠ | 8 | 8 | 3 |
| सारांश≠ | 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. |
| ScholarGateडेटासेट ↗ |
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