COMPARISON BETWEEN THE EFFECTS OF DIFFERENT TYPES OF MEMBERSHIP FUNCTIONS ON FUZZY LOGIC FOR HYDROXY DRY CELL PERFORMANCE
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Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Stef92 Technology Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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 (L-1), very low (L-2), low (L-3), negative medium (L-4), medium (L-5), positive medium (L-6), high (L-7), very high (L-8) and very very high (L-9) linguistic classes. With the linguistic variables used, rules were obtained for this system. Membership functions (MFs) are the building blocks of fuzzy set theory, i.e., fuzziness in a fuzzy set is determined by its MF. Accordingly, the shapes of MFs are important for a particular problem since they effect on a fuzzy inference system. They may have different shapes like triangular, trapezoidal, Gaussian, etc. The only condition a MF must really satisfy is that it must vary between 0 and 1. This paper presents the performance comparison of fuzzy logic with three different types of membership function.
Açıklama
16th International Multidisciplinary Scientific Geoconference (SGEM 2016) -- JUN 30-JUL 06, 2016 -- Albena, BULGARIA
Anahtar Kelimeler
HHO Dry Cell, membership functions, rule-based Mamdani-type fuzzy modelling
Kaynak
Energy and Clean Technologies Conference Proceedings, Sgem 2016, Vol I
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
