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

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dc.authorid0000-0002-4981-7324en_US
dc.authorscopusid15131734000en_US
dc.authorwosidABS-3034-2022en_US
dc.contributor.authorIlgar, Rüştü
dc.contributor.authorSalahli, Vugar
dc.contributor.authorSardarov, Yagub
dc.contributor.authorImanova, Zarifa
dc.contributor.authorJamalova, Zhala
dc.date.accessioned2024-01-27T12:20:42Z
dc.date.available2024-01-27T12:20:42Z
dc.date.issued2023en_US
dc.departmentFakülteler, Eğitim Fakültesi, Türkçe ve Sosyal Bilimler Eğitimi Bölümü
dc.description.abstractGreening 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.en_US
dc.identifier.citationIlgar, 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_70en_US
dc.identifier.doi10.1007/978-3-031-25252-5_70
dc.identifier.endpage538en_US
dc.identifier.isbn9783031252518
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85151132288
dc.identifier.startpage530en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-25252-5_70
dc.identifier.urihttps://hdl.handle.net/20.500.12428/5462
dc.identifier.volume610 LNNSen_US
dc.indekslendigikaynakScopus
dc.institutionauthorIlgar, Rüştü
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartof15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassification problem for greeningen_US
dc.subjectDecision treeen_US
dc.subjectFuzzy logicen_US
dc.subjectPrediction modelen_US
dc.titleDetermination of Green Field Plants Most Suitable for Geographical Features of Places with Fuzzy Logic Methods
dc.typeConference Object

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