| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Soft Computing (Q4) | ||
| Dergi ISSN | 1432-7643 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 26 / 21 / 11849–11863 | DOI | 10.1007/s00500-022-06981-5 |
| Makale Linki | https://link.springer.com/article/10.1007/s00500-022-06981-5 | ||
| UAK Araştırma Alanları |
Matematiğin Temelleri ve Matematiksel Mantık
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| Özet |
| For the formal expression of uncertain data, hesitant fuzzy set theory has established itself as a distinguished model because it has a broad use in multi-attribute decision-making problems. With the incorporation of features from N-soft sets, a useful framework referred to as hesitant fuzzy N-soft sets has acquired an even greater appeal. This model integrates and associates the hesitant environment with information regarding the existence of grades or star ratings. In this research article, we introduce a multi-attribute decision-making technique known as hesitant fuzzy N-soft ELECTRE-I, which computes the decision-maker assessments in an adjustable and formative manner. The proposed method also improves the robustness and accuracy of the decisions relying on grades or star ratings. Thus it lays a bedrock for subsequent analysis and applications. We justify the relevance and convenience of the proposed … |
| Anahtar Kelimeler |
| Decision-making | Hesitant fuzzy N-soft sets | Hesitant fuzzy sets | HFNS-ELECTRE-I | N-soft sets |
| Atıf Sayıları | |
| Web of Science | 11 |
| Scopus | 14 |
| Google Scholar | 16 |
| Dergi Adı | SOFT COMPUTING |
| Yayıncı | Springer Science and Business Media Deutschland GmbH |
| Açık Erişim | Hayır |
| ISSN | 1432-7643 |
| E-ISSN | 1433-7479 |
| CiteScore | 8,1 |
| SJR | 0,674 |
| SNIP | 1,045 |