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Neutrosophisk sfärisk utvidgning av CODAS×Analytic Network Process (ANP med återkoppling och beroenden)×Bayesiansk BWM×
ÄmnesområdeBeslutsfattandeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDMMCDM
Ursprungsår202419962020
UpphovspersonBhuvaneshwari, S., Antony Crispin Sweety, C.Saaty, T. L.Mohammadi, M., Rezaei, J.
TypNeutrosophic Spherical Set (NSS) outranking — T,I,F ∈ [0,1] independent with squared-norm bound 0 ≤ T²+I²+F² ≤ √3 (Bhuvaneshwari-Sweety 2024 Eq.(2)); combined with CODAS Euclidean-distance rankingWeight_Subjective (pairwise comparison, supermatrix, network structure)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
UrsprungskällaBhuvaneshwari, S., Antony Crispin Sweety, C. (2024). Neutrosophic Spherical Sets in MCDM. Neutrosophic Sets and Systems link ↗Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Närliggande888
SammanfattningNSS-CODAS (Neutrosophic Spherical extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Bhuvaneshwari, S., Antony Crispin Sweety, C. in 2024. 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-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.
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ScholarGateJämför metoder: NSS-CODAS · ANP · BWM-BAYESIAN. Hämtad 2026-06-19 från https://scholargate.app/sv/compare