Determination of Green Field Plants Most Suitable for Geographical Features of Places with Fuzzy Logic Methods
Citation
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_70Abstract
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.
