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ファジィBWM×非線形計画法×
分野意思決定最適化
系統MCDMProcess / pipeline
提唱年2015 crisp; 2017 variant applicator2006
提唱者Guo, S., Zhao, H.Jorge Nocedal & Stephen Wright
種類Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programmingContinuous mathematical optimization
原典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
別名NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama
関連83
概要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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ScholarGate手法を比較: FUZZY-BWM · Nonlinear Programming. 2026-06-18に以下より取得 https://scholargate.app/ja/compare