| Yazarlar (2) |
Dr. Öğr. Üyesi Zeynep GÖKKUŞ
Kastamonu Üniversitesi, Türkiye |
Sevil Şentürk
Eskişehir Teknik Üniversitesi, Türkiye |
| Özet |
| One-Way ANOVA is a method widely used in statistical studies to determine whether there is a significant difference between different group means. Post hoc tests are used to reveal which groups these differences are between. While classical post hoc tests are generally based on the knowledge that the data is definite and specific, post hoc tests based on fuzzy logic can better model uncertain information and situations with uncertain parameters. When the literature is examined, it is seen that although there are many studies on fuzzy one-way ANOVA (Fuzzy One-Way ANOVA), multiple comparisons are not made with fuzzy post hoc tests. In this study, the theoretical structure of fuzzy post hoc tests is established and an example is applied regarding the application of these tests. In the study, these tests developed based on statistics and fuzzy logic theory will contribute to the extension of classical post hoc tests to … |
| Anahtar Kelimeler |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | International Conference on Intelligent and Fuzzy Systems (INFUS) 2025 |
| Kongre Tarihi | 29-07-2025 / 31-07-2025 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir | İstanbul |
