Comparison Between the Effects of Different Types of Membership Functions On Fuzzy Logic For Hydroxy Dry Cell Performance
Yazarlar (3)
Öğr. Gör. Abdullah IŞIKTAŞ Sinop Üniversitesi, Türkiye
Kevser Dincer
Konya Teknik Üniversitesi, Türkiye
Konya Teknik Üniversitesi, Türkiye
Doç. Dr. Sadık Ata Kto Karatay Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum | ||
| Kongre Adı | 16th International Multidisciplinary Scientific GeoConference SGEM 2016, Energy and Clean Tech. Conference Proceedings | ||
| Kongre Tarihi | 28-06-2016 / 07-07-2016 | ||
| Basıldığı Ülke | Bulgaristan | Basıldığı Şehir | |
| UAK Araştırma Alanları |
Termodinamik
Enerji
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| Özet |
| In this study, hydroxy (HHO) dry cell performances in terms of voltage, current and temperature were modeled with Rule-Based Mamdani-Type Fuzzy (RBMTF) modeling technique. Input parameters plate combination and time; output parameters voltage, current, temperature were described by RBMTF if-the rules. Current, voltage and temperature were measured for the different membership functions. Numerical parameters of input and output variables were fuzzificated as linguistic variables: very very low (L1), very low (L2), low (L3), negative medium (L4), medium (L5), positive medium (L6), high (L7), very high (L8) and very very high (L9) linguistic classes. With the linguistic variables used, rules were obtained for this system. Membership functions (MFs) are the building blocks of fuzzy set theory, ie, fuzziness in a fuzzy set is determined by its MF. Accordingly, the shapes of MFs are important for a particular … |
| Anahtar Kelimeler |
| HHO Dry Cell | membership functions | rule-based Mamdani-type fuzzy modelling |
