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| SNHF-TOPSIS× | Τεχνική για την Κατάταξη Προτιμήσεων βάσει Ομοιότητας με την Ιδανική Λύση× | |
|---|---|---|
| Πεδίο | Λήψη Αποφάσεων | Λήψη Αποφάσεων |
| Οικογένεια | MCDM | MCDM |
| Έτος προέλευσης≠ | 2019 | 1981 |
| Δημιουργός≠ | Akram, M. Naz, S. Smarandache, F. | Hwang, C. L., Yoon, K. |
| Τύπος≠ | Simplified Neutrosophic Hesitant Fuzzy TOPSIS — decision matrix entries are SVNHFEs (each of T, I, F is a finite set of values in [0,1]); weights derived internally via Maximizing Deviation Method | Distance-based (compromise) |
| Θεμελιώδης πηγή≠ | Akram, M., Naz, S., Smarandache, F. (2019). Generalization of Maximizing Deviation and TOPSIS Method for MADM in Simplified Neutrosophic Hesitant Fuzzy Environment. Symmetry DOI ↗ | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗ |
| Εναλλακτικές ονομασίες | — | — |
| Συναφείς≠ | 2 | 8 |
| Σύνοψη≠ | SNHF-TOPSIS (TOPSIS with Maximizing Deviation in Simplified Neutrosophic Hesitant Fuzzy Environment) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M. Naz, S. Smarandache, F. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateΣύνολο δεδομένων ↗ |
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