| Yazarlar (1) |
Prof. Dr. Akın Osman ATAGÜN
Kırşehir Ahi Evran Üniversitesi, Türkiye |
| Özet |
| Rough soft sets include both a partition set of alternatives and the parameters that classify the alternatives. Therefore, the decision-making models proposed on the rough soft set structure should be able to select the appropriate partition set and the appropriate alternative. In this paper, a novel concept of equivalent soft sets in an approximation space is introduced, and various characterizations of rough soft sets are given. Parametric and alternative equivalence numbers of a soft set in a Pawlak approximation space are assigned, and using these, three functions, namely, the set determinant parametric function, the alternative determinant parametric function, and the common determinant parametric function, are defined, and then a group decision-making method, SetAltDM on rough soft sets, is presented. The effectiveness of SetAltDM is supported by many comparative examples. Two novel similarity measures, P |
| Anahtar Kelimeler |
| Decision-making | Rough set | Rough soft set | Similarity | Soft set |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Expert Systems with Applications |
| Dergi ISSN | 0957-4174 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2025 |
| Cilt No | 292 |
| Sayı | 1 |
| Doi Numarası | 10.1016/j.eswa.2025.128462 |
| Makale Linki | https://doi.org/10.1016/j.eswa.2025.128462 |
| Atıf Sayıları |
