Σύγκριση μεθόδων

	Μέθοδος Καλύτερου-Χειρότερου	Fuzzy BWM	Μη Γραμμικός Προγραμματισμός
Πεδίο	Λήψη Αποφάσεων	Λήψη Αποφάσεων	Βελτιστοποίηση
Οικογένεια	MCDM	MCDM	Process / pipeline
Έτος προέλευσης	2015	2015 crisp; 2017 variant applicator	2006
Δημιουργός	Rezaei, J.	Guo, S., Zhao, H.	Jorge Nocedal & Stephen Wright
Τύπος	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
Θεμελιώδης πηγή	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Guo, S., Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems	Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1
Εναλλακτικές ονομασίες	—	—	NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama
Συναφείς	8	8	3
Σύνοψη	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.