Determination of Green Field Plants Most Suitable for Geographical Features of Places with Fuzzy Logic Methods
Yükleniyor...
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Greening is of great importance in improving people's living environments. One of the main problems in greening is to consider the geographical characteristics of the greening region in the selection of plants for greening purposes. In this study, the problem of selecting plants suitable for the greening region is considered as a classification problem. For this purpose, a prediction model based on the J48 algorithm was created and the suitability of the plants for the greening region was estimated with this model. In addition, it has been tried to determine the suitability level of plants for the region with fuzzy inference rules that take into account heat resistance, cold resistance and drought resistance characteristics.
Açıklama
Anahtar Kelimeler
Classification problem for greening, Decision tree, Fuzzy logic, Prediction model
Kaynak
15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022
WoS Q Değeri
Scopus Q Değeri
Cilt
610 LNNS
Sayı
Künye
Ilgar, R., Salahli, V., Sardarov, Y., Imanova, Z., Jamalova, Z. (2023). Determination of Green Field Plants Most Suitable for Geographical Features of Places with Fuzzy Logic Methods. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_70
