विधियों की तुलना करें

	FF-WASPAS का फर्माटियन विस्तार	एनालिटिक नेटवर्क प्रोसेस (फीडबैक और अंतर्निर्भरताओं के साथ AHP)	सर्वश्रेष्ठ-निकृष्टतम विधि (Best-Worst Method)	बायेसियन BWM
क्षेत्र	निर्णयन	निर्णयन	निर्णयन	निर्णयन
परिवार	MCDM	MCDM	MCDM	MCDM
उद्भव वर्ष	2020	1996	2015	2020
प्रवर्तक	Senapati, T. Yager, R. R.	Saaty, T. L.	Rezaei, J.	Mohammadi, M., Rezaei, J.
प्रकार	Fermatean outranking/ranking — Fermatean Fuzzy Set (FFS: μ, ν; μ³+ν³ ≤ 1)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
मौलिक स्रोत	Senapati, T., Yager, R. R. (2020). Fermatean fuzzy sets. Journal of Ambient Intelligence and Humanized Computing	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
उपनाम	—	—	—	—
संबंधित	8	8	8	8
सारांश	FF-WASPAS (Fermatean extension of FF-WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Senapati, T. Yager, R. R. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	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.	BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.