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| MCDM intuïcionista-difusa de valors interval·lars basat en projecció× | BWM bayesià× | |
|---|---|---|
| Camp | Presa de decisions | Presa de decisions |
| Família | MCDM | MCDM |
| Any d'origen≠ | 2019; IVIFS algebraic foundation Atanassov–Gargov 1989; earlier projection variants 2012 | 2020 |
| Autor original≠ | Yue, Z. (2019) — primary normalized IVIFS projection Tsao, C. Y.; Chen, T. Y. (2016) — compromise variant Atanassov, K. T.; Gargov, G. (1989) — IVIFS foundation | Mohammadi, M., Rezaei, J. |
| Tipus≠ | IVIFS projection-based ranking | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Font seminal≠ | Yue, Z. (2019). An interval-valued intuitionistic fuzzy projection-based approach and application to evaluating knowledge transfer effectiveness. Neural Computing and Applications DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Àlies | — | — |
| Relacionats | 8 | 8 |
| Resum≠ | IV-PROJECTION (Interval-Valued Intuitionistic Fuzzy Projection-based MCDM) is a ranking multi-criteria decision-making (MCDM) method introduced by Yue, Z. (2019) — primary normalized IVIFS projection Tsao, C. Y.; Chen, T. Y. (2016) — compromise variant Atanassov, K. T.; Gargov, G. (1989) — IVIFS foundation in 2019; IVIFS algebraic foundation Atanassov–Gargov 1989; earlier projection variants 2012. 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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