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| Fuzzy ARAS× | Penilaian Rasio Aditif× | Fuzzy AHP× | |
|---|---|---|---|
| Bidang | Pengambilan Keputusan | Pengambilan Keputusan | Pengambilan Keputusan |
| Keluarga | MCDM | MCDM | MCDM |
| Tahun asal≠ | 2010 | 2010 | 1983 |
| Pencetus≠ | Turskis, Z., Zavadskas, E. K. | Zavadskas, E. K., Turskis, Z. | Van Laarhoven, P. J. M., Pedrycz, W. |
| Tipe≠ | Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u) | Additive utility ratio (optimal reference row) | Pairwise comparison with Triangular Fuzzy Number (TFN: l, m, u) judgments — umbrella over Van Laarhoven-Pedrycz 1983, Buckley 1985, Chang 1992 extent analysis, Cheng 1996 entropy-based |
| Sumber perintis≠ | Turskis, Z., Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport 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 ↗ | Van Laarhoven, P. J. M., Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems DOI ↗ |
| Alias | — | — | — |
| Terkait≠ | 2 | 8 | 8 |
| Ringkasan≠ | FUZZY-ARAS (Fuzzy ARAS — Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E. K. in 2010. 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. | FUZZY-AHP (Fuzzy AHP — Fuzzy extension of the Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Van Laarhoven, P. J. M., Pedrycz, W. in 1983. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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