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비선형 최악-최선법 (Non-linear Best Worst Method)×비선형 계획법×
분야의사결정최적화
계열MCDMProcess / pipeline
기원 연도20162006
창시자Extended development of Rezaei's BWM frameworkJorge Nocedal & Stephen Wright
유형Non-linear optimization for flexible weight derivationContinuous mathematical optimization
원전Rezaei, 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
별칭Non-linear BWM, Nonlinear BWMNLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama
관련33
요약Non-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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