| Yazarlar (1) |
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR
Beykoz Üniversitesi, Türkiye |
| Özet |
| An algorithm for the solution of the fuzzy rough linear programming (FRLP) problems with triangular fuzzy rough number parameters is proposed to overcome the uncertainty in decision-making problems. While the costs of the objective function and the coefficients of constraints are triangular fuzzy rough numbers, the variables are in the triangular fuzzy form. Fuzzy optimal solutions are found by solving two distinct fully fuzzy linear programming (FFLP) problems, obtained from the lower and upper approximations of the FRLP problem. These solutions are utilized to evaluate different fuzzy objective function values, and these values are compared according to their supports to specify the worst and the best fuzzy rough compromise solutions. The decision-maker (DM) can make a final decision within the bounds of these supports according to the direction of the optimization. Also, the algorithm yields approximate fuzzy … |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | ESCI dergilerinde yayınlanan tam makale |
| Dergi Adı | Granular Computing |
| Dergi ISSN | 2364-4966 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | ESCI |
| Makale Dili | İngilizce |
| Basım Tarihi | 05-2023 |
| Cilt No | 8 |
| Sayfalar | 479 / 489 |
| DOI Numarası | 10.1007/s41066-022-00341-2 |
| Makale Linki | http://dx.doi.org/10.1007/s41066-022-00341-2 |
| Atıf Sayıları | |
| Google Scholar | 11 |
