ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

EXPROM I×Analytic Hierarchy Process×ANP×Bayesian BWM×
TieteenalaPäätöksentekoPäätöksentekoPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDMMCDMMCDM
Syntyvuosi1991198019962020
KehittäjäDiakoulaki, D., Koumoutsos, N.Saaty, T. L.Saaty, T. L.Mohammadi, M., Rezaei, J.
TyyppiOutranking with weak+strong preferencesPairwise comparison (eigenvalue)Weight_Subjective (pairwise comparison, supermatrix, network structure)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
AlkuperäislähdeDiakoulaki, D., Koumoutsos, N. (1991). Cardinal ranking of alternative actions: Extension of the PROMETHEE method. European Journal of Operational Research DOI ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713Saaty, 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 ↗
Rinnakkaisnimet
Liittyvät8888
TiivistelmäEXPROM-I (EXPROM I — Extended PROMETHEE (partial)) is a outranking multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Koumoutsos, N. in 1991. 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.
ScholarGateAineisto
  1. v1
  2. 1 Lähteet
  3. PUBLISHED
  1. v1
  2. 1 Lähteet
  3. PUBLISHED
  1. v1
  2. 1 Lähteet
  3. PUBLISHED
  1. v1
  2. 1 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: EXPROM-I · AHP · ANP · BWM-BAYESIAN. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare