Vertaile menetelmiä

	Neutrosophisen pallomaisen laajennuksen menetelmä CODASille	Analytic Hierarchy Process	ANP	Bayesian BWM
Tieteenala	Päätöksenteko	Päätöksenteko	Päätöksenteko	Päätöksenteko
Menetelmäperhe	MCDM	MCDM	MCDM	MCDM
Syntyvuosi	2024	1980	1996	2020
Kehittäjä	Bhuvaneshwari, S., Antony Crispin Sweety, C.	Saaty, T. L.	Saaty, T. L.	Mohammadi, M., Rezaei, J.
Tyyppi	Neutrosophic 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 ranking	Pairwise comparison (eigenvalue)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Alkuperäislähde	Bhuvaneshwari, S., Antony Crispin Sweety, C. (2024). Neutrosophic Spherical Sets in MCDM. Neutrosophic Sets and Systems	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega
Rinnakkaisnimet	—	—	—	—
Liittyvät	8	8	8	8
Tiivistelmä	NSS-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.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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.