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| HFL-AHP× | Αξιολόγηση με Προσθετικό Λόγο× | COBRA (COmprehensive distance Based RAnking)× | |
|---|---|---|---|
| Πεδίο | Λήψη Αποφάσεων | Λήψη Αποφάσεων | Λήψη Αποφάσεων |
| Οικογένεια | MCDM | MCDM | MCDM |
| Έτος προέλευσης≠ | 2015 | 2010 | 2022 |
| Δημιουργός≠ | Yavuz, M., Öztaysi, B., Çevik Onar, S., Kahraman, C. | Zavadskas, E. K., Turskis, Z. | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. |
| Τύπος≠ | HFLTS-envelope pairwise comparison — interval/2-tuple aggregation — preference-degree (Yavuz) or defuzz (Özdağoğlu) ranking | Additive utility ratio (optimal reference row) | Distance from PIS/NIS/AS (Euclidean × Taxicab combined) |
| Θεμελιώδης πηγή≠ | Yavuz, M., Öztaysi, B., Çevik Onar, S., Kahraman, C. (2015). Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model. Expert Systems with Applications DOI ↗ | Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗ | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability link ↗ |
| Εναλλακτικές ονομασίες | — | — | — |
| Συναφείς | 8 | 8 | 8 |
| Σύνοψη≠ | HFL-AHP (Hesitant Fuzzy Linguistic AHP (HFLTS-envelope family: Yavuz 2015 + Özdağoğlu 2018)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Yavuz, M., Öztaysi, B., Çevik Onar, S., Kahraman, C. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateΣύνολο δεδομένων ↗ |
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